The British Journal of Psychiatry (2008) 192: 152-153. doi: 10.1192/bjp.bp.107.043208
© 2008 The Royal College of Psychiatrists
This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Data supplement
Right arrow Submit an eLetter
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Stansfeld, S. A.
Right arrow Articles by Power, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Stansfeld, S. A.
Right arrow Articles by Power, C.

SHORT REPORTS

Childhood and adulthood socio-economic position and midlife depressive and anxiety disorders

Stephen A. Stansfeld, PhD, FRCPsych and Charlotte Clark, PhD

Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London, Queen Mary's School of Medicine and Dentistry, London

Bryan Rodgers, PhD and Tanya Caldwell, PhD

Centre for Mental Health Research, The Australian National University, Canberra, Australia

Chris Power, PhD

Centre for Paediatric Epidemiology and Biostatistics, Institute of Child Health, University College London, UK

Correspondence: Stephen Stansfeld, Centre for Psychiatry, Wolfson Institute of Preventive Medicine, Barts and the London, Queen Mary's School of Medicine and Dentistry, Old Anatomy Building, Charterhouse Square, London EC1M 6BQ, UK. Email: S.A.Stansfeld{at}qmul.ac.uk

Declaration of interest

None.


arrow
ABSTRACT
 
This paper investigates how childhood socio-economic position influences the risk for midlife depressive and anxiety disorders at 45 years of age, assessed by the Clinical Interview Schedule in 9377 participants of the 1958 British Birth Cohort. Socio-economic position was measured by Registrar General Social Class in childhood and adulthood. The association of paternal manual socio-economic position with any diagnosis at 45 years of age was accounted for after adjustment for adult socio-economic position. Manual socio-economic position in women at 42 years of age was associated with midlife depressive disorder and any diagnosis; these associations were diminished by adjustment for childhood psychological disorders. Effects of childhood socio-economic position on adult depressive disorders may be mediated through adult socio-economic position.


arrow
INTRODUCTION
 
This paper examines the implications of low socio-economic position in childhood for midlife depressive and anxiety disorders in the 1958 British Birth Cohort. We examine the following questions: does childhood socio-economic position increase the risk for midlife disorders above and beyond adult socio-economic position and does the relationship between adult socio-economic position and risk of midlife disorders reflect the effects of childhood socio-economic position?


arrow
Method
 
The 1958 British Birth Cohort has been followed up at ages 7, 11, 16, 23, 33 and 42 years with a biomedical follow-up at 45 years.1 After exclusions for death, emigration, permanent refusal, armed forces and long-term non-contacts, 11 971 participants still in contact with the study at the age of 45 years were invited to a nurse-led biomedical assessment that included measurement of respiratory function, eyesight, hearing and a computer-assisted personal interview. The achieved sample was 9377 with a response rate of 72% of the contacted sample, representing 59% of the eligible sample. Ethical approval for the survey was given by the South East Multi-Centre Research Ethics Committee.

Adult social position was based on current or most recent occupation at 42 years of age and categorised using the British Registrar General classification2 as non-manual (I and II professional/managerial/technical, III other non-manual) and manual (III skilled manual, IV and V unskilled manual). Both men and women were allocated to a manual or non-manual socio-economic position on the basis of their own occupation. Childhood socio-economic position at 7 years of age was measured by the father's occupation using the same classification; no male head of the family was classified as manual.

Depressive and anxiety disorders in the previous week were measured by modules from the revised Clinical Interview Schedule3 administered by a nurse using a computer-assisted personal interview at the age of 45 years. Diagnoses were derived according to standard algorithms for ICD–10 diagnoses. Non-comorbid diagnoses were derived for `depressive episode', `generalised anxiety disorder' and a summary measure of `any diagnosis' that included generalised anxiety disorder, depressive episode, any phobia (excluding specific phobias) and panic disorder, including any comorbid disorders.

Psychological distress at ages 7 and 11 years was measured using the teacher-rated Bristol Social Adjustment Guides.4 Internalising and externalising behaviours at age 16 years were measured using the teacher version of the Rutter scales.5

Logistic regression analyses were conducted to examine associations of socio-economic position indices in childhood and adulthood with diagnoses at 45 years of age. Interactions between socio-economic position and gender were examined to test whether social gradients differed between women and men in relation to diagnosis. Mediating or moderating effects of adulthood socio-economic position on the association between childhood socio-economic position and midlife disorder were tested by adjustments to the models and the inclusion of interaction terms respectively: adulthood associations were similarly adjusted for childhood socio-economic position. Multiple imputation was used to address missing data in the analyses, using the ICE program in Stata SE (version 8.2). All psychological health and socio-economic position variables were included in the imputation equations.6 Inverse probability weights were derived to address attrition.


arrow
Results
 
Of the 9377 participants, 50% were female, 84% owned or were purchasing their home and 88% were employed. At age 45 years, 6% of the total sample met the criteria for `any diagnosis' (7.2% of women; 4.8% of men). Among participants with paternal manual socio-economic position at age 7 years, 55.3% had attained non-manual socio-economic position by the age of 42 years.

Manual social position at 7 years of age was associated with a small increased risk for any diagnosis at 45 years of age (OR=1.26, 95% CI 1.02–1.57) that was eliminated after adjustment for adult socio-economic position (online Table DS1). Manual socio-economic position at 42 years of age was associated with a significantly increased risk of any diagnosis and depressive episode in women but not in men (Table 1). No association was found between adult socio-economic position and generalised anxiety disorder. Adjustment for socio-economic position in childhood made only minimal change to the risks for any diagnosis or depressive episode associated with adult socio-economic position. After additional adjustment for childhood psychological disorders these associations were diminished in size but remained substantial in magnitude. Analysis of complete data demonstrated the same pattern of results, albeit with weaker associations; adjustment for childhood psychological disorders removed the significant effect of manual midlife socio-economic position on any diagnosis (online Tables DS2 and DS3).


View this table:
[in this window]
[in a new window]

 
Table 1 Associations between social position at 42 years of age and Clinical Interview Schedule diagnoses at 45 years of age (n=9377)


arrow
Discussion
 
This is one of very few studies examining links between childhood socio-economic position and midlife depressive and anxiety disorders.

Sample attrition was the main limitation although imputation and weighting was designed to minimise this. Missing data on less advantaged socio-economic position was associated with previous poorer mental health. Generalisability is limited by studying one age group, subject to specific cohort influences; nevertheless, the associations between socio-economic position and psychiatric diagnoses are similar in nationally representative samples. Registrar General Social Class is not always sensitive to recent changes in occupational structure, may be less meaningful in women and may not take account of partner occupational status.7

The loss of the small association between manual socio-economic position in childhood and any diagnosis at midlife after adjustment for adult socio-economic position suggests that the effects of childhood socio-economic position are largely mediated through adult socio-economic position, through pathways that lead from disadvantaged childhoods to disadvantaged adulthoods.

The effects of less advantaged socio-economic position in adulthood are not primarily the result of childhood socio-economic position because adjustment for less advantaged socio-economic position in childhood did not account for the association of adult socio-economic position and midlife disorders. Any diagnosis and depressive episode were strongly influenced by adult social disadvantage as has been shown in other birth cohort studies8,9 and cross-sectional studies.10,11 In addition, decline in socio-economic status has also been linked to increased risk of depression.12 The stronger association in women than men was unexpected; associations between socio-economic position and common mental disorders were weaker in women than men in a national UK survey.10 Adult socio-economic position has a greater influence on depressive episode than on generalised anxiety disorder in this cohort possibly because anxiety disorders may vary less by occupationally based social class than by material disadvantage. It is also possible that non-manual participants are more comfortable in reporting anxiety symptoms than manual participants, thus obscuring an effect of social disadvantage. Although the association of adult socio-economic position with any diagnosis and depression is not explained by childhood socio-economic position, the association diminished slightly after adjustment for childhood psychological disorders. This may relate to the effect of childhood psychological disorders on adult socio-economic position; further work is needed to investigate this.


arrow
ACKNOWLEDGMENTS
 
The biomedical examination and related statistical analyses were funded by Medical Research Council grant G0000934, awarded under the Health of the Public initiative. C.C. is supported by an Engineering and Physical Sciences Research Fellowship. B.R. is supported by Research Fellowships 148948 and 366758 and by Program Grant 179805 from the National Health and Medical Research Council of Australia. Research at the Institute of Child Health and Great Ormond Street Hospital for Children NHS Trust benefits from research and development funding received from the NHS Executive.


arrow
REFERENCES
 
    1
  1. Power C, Elliott J. Cohort profile: 1958 British birth cohort (National Child Development Study). Int J Epidemiol 2006; 35: 34 -41.[Free Full Text]
  2. 2
  3. Office of Population Censuses and Surveys. Classification of Occupations. HMSO, 1980 .
  4. 3
  5. Lewis G, Pelosi AJ, Araya R, Dunn G. Measuring psychiatric disorder in the community: a standardized assessment for use by lay interviewers. Psychol Med 1992; 22: 465-86.[Medline]
  6. 4
  7. Stott DH. The Social Adjustment of Children (3rd edn). University of London Press, 1969.
  8. 5
  9. Elander J, Rutter M. Use and development of the Rutter parents' and teachers' scales. Int J Methods Psychr Res 1996; 6: 63 -78.[CrossRef]
  10. 6
  11. Clark C, Rodgers B, Caldwell T, Power C, Stansfeld SA. Childhood and adulthood psychological ill-health as predictors of mid-life affective and anxiety disorders: the 1958 British Birth Cohort. Arch Gen Psychiatry 2007; 64: 668 -78.[Abstract/Free Full Text]
  12. 7
  13. Galobardes B, Shaw M, Lawlor DA, Lynch JW, Davey Smith G. Indicators of socioeconomic position (part 1). J Epidemiol Community Health 2006; 60: 6-12.[Free Full Text]
  14. 8
  15. Rodgers B. Socio-economic status, employment and neurosis. Soc Psychiatry Psychiatr Epidemiol 1991; 26: 104-14.[CrossRef][Medline]
  16. 9
  17. Poulton R, Caspi A, Milne BJ, Thomson WM, Taylor A, Sears MR, Moffitt TE. Association between children's experience of socioeconomic disadvantage and adult health: a life-course study. Lancet 2002; 360: 1640 -5.[CrossRef][Medline]
  18. 10
  19. Lewis G, Bebbington P, Brugha T, Farrell M, Gill B, Jenkins R, Meltzer H. Socioeconomic status, standard of living, and neurotic disorder. Lancet 1998; 352: 605-9.[CrossRef][Medline]
  20. 11
  21. Muntaner C, Eaton WW, Diala C, Kessler RC, Sorlie PD. Social class, assets, organizational control and the prevalence of common groups of psychiatric disorders. Soc Sci Med 1998; 47: 2043 -53.[CrossRef][Medline]
  22. 12
  23. Lorant V, Croux C, Weich S, Deliege D, Mackenbach J, Ansseau M. Depression and socio-economic risk factors: 7-year longitudinal population study. Br J Psychiatry 2007; 190: 293-8.[Abstract/Free Full Text]
Received for publication July 20, 2007. Revision received October 22, 2007. Accepted for publication November 13, 2007.




This article has been cited by other articles:


Home page
J Gerontol B Psychol Sci Soc SciHome page
G. B. Ploubidis and E. Grundy
Later-Life Mental Health in Europe: A Country-Level Comparison
J Gerontol B Psychol Sci Soc Sci, September 1, 2009; 64B(5): 666 - 676.
[Abstract] [Full Text] [PDF]


This Article
Right arrow Abstract Freely available
Right arrow Full Text (PDF)
Right arrow Data supplement
Right arrow Submit an eLetter
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Right arrow Citation Map
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via CrossRef
Right arrow Citing Articles via Google Scholar
Right arrow Citing Articles via Scopus
Google Scholar
Right arrow Articles by Stansfeld, S. A.
Right arrow Articles by Power, C.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Stansfeld, S. A.
Right arrow Articles by Power, C.