TY - JOUR
T1 - Socio-demographic predictors of self-rated health in the Republic of Ireland
T2 - Findings from the National Survey on Lifestyle, Attitudes and Nutrition, SLAN
AU - Kelleher, C. C.
AU - Friel, S.
AU - Gabhainn, S. Nic
AU - Tay, Joseph B.
N1 - Funding Information:
The SLAN survey was funded by the Department of Health and Children, Republic of Ireland. Sharon Friel and Saoirse Nic Gabhainn received grant support from the Health Research Board of Ireland as part of the Unit on Health Status and Health Gain to develop the models used for this analysis. Joseph Tay is funded as part of the Human Impact Cluster of the Higher Education Authority cycle 2 scheme of support for the Environmental Change Institute. This paper was drafted by Cecily Kelleher during a Fulbright commission supported visting scholarship period to the United States of America. Cecily Kelleher is a steering committee member of the European Science Foundation funded Social Variations in Health Expectancy in Europe research programme. Helpful criticisms of earlier drafts were provided by Dr. Hanno Ulmer, Institute of Biostatistics, University of Innsbruck, Austria, Dr. Eamon O’Shea, Department of Economics, NUI Galway and Dr. Jennifer Balfour, Center for Epidemiology and Population Health, University of Michigan, Ann Arbor, USA.
PY - 2003/8
Y1 - 2003/8
N2 - 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.
AB - 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.
KW - Education status
KW - Employment
KW - Ireland
KW - Self-rated health
KW - Social class
KW - Tenure
UR - http://www.scopus.com/inward/record.url?scp=0038617576&partnerID=8YFLogxK
U2 - 10.1016/S0277-9536(02)00371-4
DO - 10.1016/S0277-9536(02)00371-4
M3 - Article
C2 - 12791490
AN - SCOPUS:0038617576
SN - 0277-9536
VL - 57
SP - 477
EP - 486
JO - Social Science and Medicine
JF - Social Science and Medicine
IS - 3
ER -