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Project details

Determinants of Social Class Differences in Mental and Physical Ill-health
Award No. L128251052

Contact:
Professor Stephen Stansfeld
Department of Psychiatry
Basic Medical Science Building
Queen Mary & Westfield College
Mile End Road
London E1 4NS
Tel: +44 (0)207 8827727
Fax: +44 (0)207 8827924
Click to email

Principal Researchers:
Professor Stephen Stansfeld
Dr Rebecca Fuhrer
Professor Jane Wardle
Ms Jenny Head
Professor Michael Marmot


Duration of Research:
March 1999 - February 2001

Research areas: Mental health; Psycho-social influences;
Workplace influences
Project Plan Project Summary

Background return to top
Gradients in physical ill-health by socio-economic status are well-recognised. Physical morbidity such as coronary heart disease and chronic bronchitis are more prevalent in lower socio-economic status groups. This may also be the case for common mental disorders like anxiety and depression, and many studies suggest that depressive symptoms are more prevalent in lower rather than higher socio-economic status groups.

What are the explanations for these socio-economic gradients in ill-health? For physical ill-health, characteristics of the psycho-social work environment, such as low control over work, and lack of personal social support, have been invoked as potential explanations of the social gradient in addition to conventional risk factors such as health-related behaviours. It is possible that these factors have a similar impact on the social gradient in common mental disorders, particularly depression. Possible explanations for social gradients in depression may be sought in early life factors, in contemporary exposure to stressors (including lack of material resources and excessive demands), lack of social support at work and at home, and in pre-existing physical illness.

If these factors are important in explaining the social gradient in depression, what might be their mechanism of action? A likely mechanism is suggested by the stress hypothesis, where stress is conceptualized as an imbalance between demands and resources. An excess of demands and lack of resources in lower socio-economic strata might result in an increased risk of illness. Not only might there be more exposure to stressors, like life events and material problems in lower socio-economic groups, but they may also be perceived differently by social status. For instance, control over work and demands at work may be interpreted differently by those in lower and higher socio-economic groups and by men and women. Effective coping with stressors requires that stressors are perceived and dealt with in a way that minimises their threat to health. Furthermore, it depends on having both environmental and personal coping resources to deal with stressors. These include social supports and coping skills which may also differ in distribution by socio-economic status and thus contribute to differences in combating stressors.

Aims and Objectives
This project will examine:

  • qualitative differences in stressors and supports at home and at work by social status and gender;
  • the mechanisms by which these stressors and supports may contribute to social inequalities in depression. The relative contribution of each of these factors to explaining the social gradient in depression will be assessed using quantitative analysis and the possibility of common causes for both depression and physical illness will be examined.

Study Design
The study sample will be chosen from a prospective occupational cohort study, the Whitehall II Study of middle-aged male and female civil servants. There are two parts to this investigation: qualitative and quantitative. First, in-depth interviews of 120 participants stratified by employment grade (the measure of socio-economic status), gender and depression score will be conducted to assess how stressors, supports and coping vary by employment grade. All these interviews will include a semi-structured section elaborating on earlier questionnaire responses, while 60 will also include an unstructured in-depth interview. The quantitative part comprises analyses of risk factors, including work and social support, from the whole Whitehall II cohort to explain the employment grade gradient in depression (measured by the Composite International Diagnostic Interview) found in this study.

Policy Implications
The research will aid in understanding which risk factors and which protective factors, both at home and at work, are relevant to social inequalities in depression and how these may differ by gender. It is anticipated that this will identify possible points for intervention with preventative programmes to promote mental health.

Project Summaryreturn to top
Promoting mental health is an integral part of the UK's national health strategies. The project focused on depression, one of the most prevalent of the mental health disorders.

It drew on analyses of the Whitehall II study of 10308 civil servants, a prospective cohort study of London-based office staff working in 20 civil service departments. These analyses were informed by 75 qualitative interviews, which explored individuals' everyday lives in the contexts of home, work and neighbourhood.

The Whitehall II cohort was first studied in 1985-1988 (baseline survey), with the most recent wave of data collection in 1997-99 (phase 5). Civil Service employment grade provides a finely-graded measure of occupational position and the project used this measure to examine grade differences in depressive symptoms over time, the comparative importance of everyday stressors and protective factors, and the home and work-based factors contributing to them.

Key findings

  • The grade gradient in depressive symptoms had become more marked over the 10 years of the Whitehall II Study. For women, a gradient had emerged; for men, the gradient, already evident at the baseline survey, had widened. Adjustment for upward and outward mobility did not alter the overall grade gradients in depression among men and women at phase 5.
  • Adverse changes in the psycho-social work environment (reduced skill discretion, increased job demands and reduced work support) between phase 1 and phase 3 were predictors of depressive symptoms at phase 5. Those who were upwardly mobile were less likely to have depressive symptoms. Further analyses suggested that improved work environment is part of the explanation for the reduced depression scores among those who were upwardly mobile. It is also suggested that those who were in adverse work environments on more than one occasion were at increased risk of depression. Adverse changes in perceived material problems were also a predictor of depressive symptoms.
  • Work characteristics and material deprivation statistically explained the grade gradient in depression at phase 5 for both men and women but their effects were more marked in the case of men (after taking account of baseline mental and physical health). Social support and life events were also related to depression score, but varied little by employment grade and so did not contribute as much as work characteristics and material deprivation to the explanation of the grade gradient in depression.
  • Common factors - including work characteristics, health behaviours and material deprivation - contribute to the grade gradient in both physical health (physical functioning) and depression. Work characteristics were the most important explanatory factors for gradients in mental health and health behaviours were most important for physical health; perceived material problems also explained more of the grade gradient in depression for women than they did for men. Civil servants in the lower grades were more likely to experience both physical and mental ill health. But common risk factors explained only about 15% of the association between physical and mental ill health. The most important of these were work characteristics and material conditions. Pre-existing physical illness increased risk of developing mental ill health and vice versa.
  • There was evidence that early life factors also played a role in the aetiology of depression. One in ten men and one in five women stated that they were separated from their mother for a year or more in childhood. About 40% experienced at least one of seven situations relating to emotional deprivation and a similar proportion reported experiencing material deprivation. Those in low employment grades were more likely to have experienced emotional or material deprivation in childhood. Both were significantly related to phase 5 depression score after adjustment for employment grade. However, employment grade gradients in depression were only reduced by 7% after adjustment for early life influences.
  • The qualitative study suggested that partner's employment status may have different effects on the mental health and well-being of women compared to men. The quantitative analyses confirmed that partner's employment status was related to phase 5 depression in both men and women - but that there were gender differences. Men whose partners worked part-time or who were at home caring for the family had lower depression scores than those whose partners worked full-time. Men whose partners moved from caring for the family to full-time employment had higher depression scores. For women, having an unemployed partner was associated with higher depression scores and having a partner who became unemployed was associated with an increased depression score.
  • The qualitative interviews highlighted how negative perceptions of the workplace - more common in lower grades - were exacerbated by isolation and exclusion. Integration into co-operative work groups was linked to job satisfaction, and was beneficial for reducing stress when facing difficulties, or coping collectively with organisational change. Experiencing stressors in both home and work environments could be especially damaging for mental health. This suggests that there may be a sliding social class scale whereby co-incidence of stressors, and the balance of resources and stressors, leads to mental illness.
return to top
Newsletter articles:
Psychosocial factors and the explanation of socio-economic gradients in common mental disorder

 

 
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