IDEAS home Printed from
   My bibliography  Save this article

Socio-demographic predictors of self-rated health in the Republic of Ireland: findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN


  • Kelleher, C. C.
  • Friel, S.
  • Nic Gabhainn, S.
  • Tay, Joseph B.


Though Ireland continues to have a poor health profile compared with other European Union countries, previous research on social variations has been limited. For the first time in the Republic of Ireland, the influence on self-rated health of various socio-demographic indicators was assessed in a multi-variate logistic regression model, separately for men and women. Data were from the first National Survey of Lifestyles, Attitudes and Nutrition, SLAN, conducted by post in a multi-stage, cluster random sample across 26 counties. There were 6539 respondents (45.4% males). Mean self-rated health differed significantly according to age, marital status, tenure, educational status, social class, household size and eligibility for general medical services (GMS), but not according to gender or rurality. There were also differences if residing in a district with low level of affluence, or according to social cluster groupings. There were numerous significant correlations between the nine socio-demographic measures, but the most consistent pattern was between GMS eligibility and the various indicators, for both men and women. In the case of men, whether social class was included in the multi-variate model or not, education status remained predictive in the final model, (OR 2.36 CI 1.35-4.12) as did smoking status (OR 2.11 CI 1.47-3.02). Odds ratio for GMS eligibility was 3.33 (CI 2.61-4.26) attenuated to 1.70 (CI 1.12-2.56) in the final model. For women the pattern was somewhat different. Only GMS status (OR 2.64 CI 1.74-3.99) and level of education (2.25 CI 1.19-4.24) were predictive in the final model. A multi-level analysis showed that area level of affluence was not significantly predictive of self-rated health when individual level factors were taken into account.

Suggested Citation

  • Kelleher, C. C. & Friel, S. & Nic Gabhainn, S. & Tay, Joseph B., 2003. "Socio-demographic predictors of self-rated health in the Republic of Ireland: findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN," Social Science & Medicine, Elsevier, vol. 57(3), pages 477-486, August.
  • Handle: RePEc:eee:socmed:v:57:y:2003:i:3:p:477-486

    Download full text from publisher

    File URL:
    Download Restriction: Full text for ScienceDirect subscribers only

    As the access to this document is restricted, you may want to search for a different version of it.


    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.

    Cited by:

    1. Patrick Peretti-Watel, 2006. "Lien social et santé en situation de précarité : état de santé, recours aux soins, abus d'alcool et réseau relationnel parmi les usagers des services d'aide," Économie et Statistique, Programme National Persée, vol. 391(1), pages 115-130.
    2. Costa-Font, Joan & Hernández-Quevedo, Cristina, 2012. "Measuring inequalities in health: What do we know? What do we need to know?," Health Policy, Elsevier, vol. 106(2), pages 195-206.
    3. Riva, Mylène & Curtis, Sarah & Norman, Paul, 2011. "Residential mobility within England and urban–rural inequalities in mortality," Social Science & Medicine, Elsevier, vol. 73(12), pages 1698-1706.
    4. Riva, Mylene & Curtis, Sarah & Gauvin, Lise & Fagg, James, 2009. "Unravelling the extent of inequalities in health across urban and rural areas: Evidence from a national sample in England," Social Science & Medicine, Elsevier, vol. 68(4), pages 654-663, February.


    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:socmed:v:57:y:2003:i:3:p:477-486. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu). General contact details of provider: .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.