Skip to main content
Journal of Epidemiology and Community Health logoLink to Journal of Epidemiology and Community Health
. 2004 Oct;58(10):862–869. doi: 10.1136/jech.2003.018317

Socioeconomic inequalities in mobility decline in chronic disease groups (asthma/COPD, heart disease, diabetes mellitus, low back pain): only a minor role for disease severity and comorbidity

A Koster 1, H Bosma 1, G Kempen 1, F J van Lenthe 1, J T M van Eijk 1, J Mackenbach 1
PMCID: PMC1763329  PMID: 15365114

Abstract

Objective: This study examined the association between socioeconomic status and mobility decline and whether this could be explained by disease severity and comorbidity in four different chronic disease groups (asthma/COPD, heart disease, diabetes mellitus, and low back pain). It is not clear, whether the adverse course of physical functioning in persons with a low socioeconomic status can be explained by a higher prevalence of more severe disease or comorbidity in these persons.

Design: Dutch GLOBE study: prospective cohort study

Setting: Region of Eindhoven (south east of the Netherlands)

Participants: 1384 persons suffering from at least one of the four chronic diseases were selected. The number of respondents in each group was: asthma/COPD 465, heart disease 788, diabetes mellitus 137, and low back pain 707. There were 580 respondents who suffered from more than one condition.

Main results: Odds ratios of mobility decline between 1991 and 1997, adjusted for age, sex, marital status, and baseline mobility, were significantly higher in low socioeconomic groups in comparison with high socioeconomic groups. Only very little of this association could be explained by the higher disease severity and comorbidity in these patients. Findings were similar in patients with asthma/COPD, heart disease, diabetes mellitus, and chronic low back pain.

Conclusion: These findings indicate that to reduce physical disabilities and particularly the socioeconomic differences therein, it may not be sufficient to solely intervene upon the risks of severe disease and comorbidities.

Full Text

The Full Text of this article is available as a PDF (97.3 KB).

Selected References

These references are in PubMed. This may not be the complete list of references from this article.

  1. Bosma H., Schrijvers C., Mackenbach J. P. Socioeconomic inequalities in mortality and importance of perceived control: cohort study. BMJ. 1999 Dec 4;319(7223):1469–1470. doi: 10.1136/bmj.319.7223.1469. [DOI] [PMC free article] [PubMed] [Google Scholar]
  2. Brekke M., Hjortdahl P., Thelle D. S., Kvien T. K. Disease activity and severity in patients with rheumatoid arthritis: relations to socioeconomic inequality. Soc Sci Med. 1999 Jun;48(12):1743–1750. doi: 10.1016/s0277-9536(99)00075-1. [DOI] [PubMed] [Google Scholar]
  3. Brekke Mette, Hjortdahl Per, Kvien Tore K. Severity of musculoskeletal pain: relations to socioeconomic inequality. Soc Sci Med. 2002 Jan;54(2):221–228. doi: 10.1016/s0277-9536(01)00018-1. [DOI] [PubMed] [Google Scholar]
  4. Droomers M., Schrijvers C. T., Mackenbach J. P. Educational level and decreases in leisure time physical activity: predictors from the longitudinal GLOBE study. J Epidemiol Community Health. 2001 Aug;55(8):562–568. doi: 10.1136/jech.55.8.562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Eachus J., Chan P., Pearson N., Propper C., Davey Smith G. An additional dimension to health inequalities: disease severity and socioeconomic position. J Epidemiol Community Health. 1999 Oct;53(10):603–611. doi: 10.1136/jech.53.10.603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  6. Grundy E., Glaser K. Socio-demographic differences in the onset and progression of disability in early old age: a longitudinal study. Age Ageing. 2000 Mar;29(2):149–157. doi: 10.1093/ageing/29.2.149. [DOI] [PubMed] [Google Scholar]
  7. Hemingway H., Nicholson A., Stafford M., Roberts R., Marmot M. The impact of socioeconomic status on health functioning as assessed by the SF-36 questionnaire: the Whitehall II Study. Am J Public Health. 1997 Sep;87(9):1484–1490. doi: 10.2105/ajph.87.9.1484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Hemingway H., Stafford M., Stansfeld S., Shipley M., Marmot M. Is the SF-36 a valid measure of change in population health? Results from the Whitehall II Study. BMJ. 1997 Nov 15;315(7118):1273–1279. doi: 10.1136/bmj.315.7118.1273. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Kempen G. I., Ormel J., Brilman E. I., Relyveld J. Adaptive responses among Dutch elderly: the impact of eight chronic medical conditions on health-related quality of life. Am J Public Health. 1997 Jan;87(1):38–44. doi: 10.2105/ajph.87.1.38. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Kempen G. I., van Heuvelen M. J., van Sonderen E., van den Brink R. H., Kooijman A. C., Ormel J. The relationship of functional limitations to disability and the moderating effects of psychological attributes in community-dwelling older persons. Soc Sci Med. 1999 May;48(9):1161–1172. doi: 10.1016/s0277-9536(98)00427-4. [DOI] [PubMed] [Google Scholar]
  11. Kuorinka I., Jonsson B., Kilbom A., Vinterberg H., Biering-Sørensen F., Andersson G., Jørgensen K. Standardised Nordic questionnaires for the analysis of musculoskeletal symptoms. Appl Ergon. 1987 Sep;18(3):233–237. doi: 10.1016/0003-6870(87)90010-x. [DOI] [PubMed] [Google Scholar]
  12. Lundberg O. Causal explanations for class inequality in health--an empirical analysis. Soc Sci Med. 1991;32(4):385–393. doi: 10.1016/0277-9536(91)90339-e. [DOI] [PubMed] [Google Scholar]
  13. Lynch J. W., Smith G. D., Kaplan G. A., House J. S. Income inequality and mortality: importance to health of individual income, psychosocial environment, or material conditions. BMJ. 2000 Apr 29;320(7243):1200–1204. doi: 10.1136/bmj.320.7243.1200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Mackenbach J. P., Borsboom G. J., Nusselder W. J., Looman C. W., Schrijvers C. T. Determinants of levels and changes of physical functioning in chronically ill persons: results from the GLOBE Study. J Epidemiol Community Health. 2001 Sep;55(9):631–638. doi: 10.1136/jech.55.9.631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Mackenbach J. P., Kunst A. E., Cavelaars A. E., Groenhof F., Geurts J. J. Socioeconomic inequalities in morbidity and mortality in western Europe. The EU Working Group on Socioeconomic Inequalities in Health. Lancet. 1997 Jun 7;349(9066):1655–1659. doi: 10.1016/s0140-6736(96)07226-1. [DOI] [PubMed] [Google Scholar]
  16. Mackenbach J. P., van de Mheen H., Stronks K. A prospective cohort study investigating the explanation of socio-economic inequalities in health in The Netherlands. Soc Sci Med. 1994 Jan;38(2):299–308. doi: 10.1016/0277-9536(94)90399-9. [DOI] [PubMed] [Google Scholar]
  17. Marmot M. G., Shipley M. J., Rose G. Inequalities in death--specific explanations of a general pattern? Lancet. 1984 May 5;1(8384):1003–1006. doi: 10.1016/s0140-6736(84)92337-7. [DOI] [PubMed] [Google Scholar]
  18. Martikainen P., Stansfeld S., Hemingway H., Marmot M. Determinants of socioeconomic differences in change in physical and mental functioning. Soc Sci Med. 1999 Aug;49(4):499–507. doi: 10.1016/s0277-9536(99)00135-5. [DOI] [PubMed] [Google Scholar]
  19. McKenna S. P., Hunt S. M., McEwen J. Weighting the seriousness of perceived health problems using Thurstone's method of paired comparisons. Int J Epidemiol. 1981 Mar;10(1):93–97. doi: 10.1093/ije/10.1.93. [DOI] [PubMed] [Google Scholar]
  20. Rose G. A., Blackburn H. Cardiovascular survey methods. Monogr Ser World Health Organ. 1968;56:1–188. [PubMed] [Google Scholar]
  21. Seeman T. E., Charpentier P. A., Berkman L. F., Tinetti M. E., Guralnik J. M., Albert M., Blazer D., Rowe J. W. Predicting changes in physical performance in a high-functioning elderly cohort: MacArthur studies of successful aging. J Gerontol. 1994 May;49(3):M97–108. doi: 10.1093/geronj/49.3.m97. [DOI] [PubMed] [Google Scholar]
  22. Speer D. C. Clinically significant change: Jacobson and Truax (1991) revisited. J Consult Clin Psychol. 1992 Jun;60(3):402–408. doi: 10.1037//0022-006x.60.3.402. [DOI] [PubMed] [Google Scholar]
  23. Stronks K., van de Mheen H., Looman C. W., Mackenbach J. P. The importance of psychosocial stressors for socio-economic inequalities in perceived health. Soc Sci Med. 1998 Feb-Mar;46(4-5):611–623. doi: 10.1016/s0277-9536(97)00206-2. [DOI] [PubMed] [Google Scholar]
  24. West P. Rethinking the health selection explanation for health inequalities. Soc Sci Med. 1991;32(4):373–384. doi: 10.1016/0277-9536(91)90338-d. [DOI] [PubMed] [Google Scholar]
  25. van den Akker M., Buntinx F., Metsemakers J. F., Knottnerus J. A. Marginal impact of psychosocial factors on multimorbidity: results of an explorative nested case-control study. Soc Sci Med. 2000 Jun;50(11):1679–1693. doi: 10.1016/s0277-9536(99)00408-6. [DOI] [PubMed] [Google Scholar]
  26. van der Lende R., Jansen-Koster E. J., Knijpstra S., Meinesz A. F., Wever A. M., Orie N. G. Definitie van CARA in epidemiologie en preventie. Ned Tijdschr Geneeskd. 1975 Dec 13;119(50):1975–1980. [PubMed] [Google Scholar]
  27. van der Meer J. B., Mackenbach J. P. Course of health status among chronically ill persons: differentials according to level of education. J Clin Epidemiol. 1998 Mar;51(3):171–179. doi: 10.1016/s0895-4356(97)00267-9. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Epidemiology and Community Health are provided here courtesy of BMJ Publishing Group

RESOURCES