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Article: Pathways between education and health: A causal modelling approach
Title | Pathways between education and health: A causal modelling approach |
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Authors | |
Keywords | Structural equation modelling Education Health Pathways |
Issue Date | 2006 |
Citation | Journal of the Royal Statistical Society. Series A: Statistics in Society, 2006, v. 169, n. 2, p. 337-359 How to Cite? |
Abstract | The association of poor education and poor health has been consistently observed in many studies and in various countries. Thus far, studies examining the mechanisms underlying this association have looked at only a limited set of potential pathways. This study simultaneously examines six distinctive pathways, which have been hypothesized to link education and health and found support from previous studies. A causal analysis of education and health was performed using structural equation models. Data were used from six phases of the National Child Development Study, which is based on following up an initial sample of 17416 children who were born in 1958. The association between education and health appears to be explained by a combination of mechanisms: adolescent health and adult health behaviours for men and women, adult social class among men and parental social class among women. We conclude that improvements in population educational attainment may not automatically lead to improvements in population health, and that health policies for improving health and reducing health inequalities need to target specific causal pathways. © 2006 Royal Statistical Society. |
Persistent Identifier | http://hdl.handle.net/10722/307460 |
ISSN | 2023 Impact Factor: 1.5 2023 SCImago Journal Rankings: 0.775 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Chandola, Tarani | - |
dc.contributor.author | Clarke, Paul | - |
dc.contributor.author | Morris, J. N. | - |
dc.contributor.author | Blane, David | - |
dc.date.accessioned | 2021-11-03T06:22:39Z | - |
dc.date.available | 2021-11-03T06:22:39Z | - |
dc.date.issued | 2006 | - |
dc.identifier.citation | Journal of the Royal Statistical Society. Series A: Statistics in Society, 2006, v. 169, n. 2, p. 337-359 | - |
dc.identifier.issn | 0964-1998 | - |
dc.identifier.uri | http://hdl.handle.net/10722/307460 | - |
dc.description.abstract | The association of poor education and poor health has been consistently observed in many studies and in various countries. Thus far, studies examining the mechanisms underlying this association have looked at only a limited set of potential pathways. This study simultaneously examines six distinctive pathways, which have been hypothesized to link education and health and found support from previous studies. A causal analysis of education and health was performed using structural equation models. Data were used from six phases of the National Child Development Study, which is based on following up an initial sample of 17416 children who were born in 1958. The association between education and health appears to be explained by a combination of mechanisms: adolescent health and adult health behaviours for men and women, adult social class among men and parental social class among women. We conclude that improvements in population educational attainment may not automatically lead to improvements in population health, and that health policies for improving health and reducing health inequalities need to target specific causal pathways. © 2006 Royal Statistical Society. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of the Royal Statistical Society. Series A: Statistics in Society | - |
dc.subject | Structural equation modelling | - |
dc.subject | Education | - |
dc.subject | Health | - |
dc.subject | Pathways | - |
dc.title | Pathways between education and health: A causal modelling approach | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1111/j.1467-985X.2006.00411.x | - |
dc.identifier.scopus | eid_2-s2.0-33645053006 | - |
dc.identifier.volume | 169 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 337 | - |
dc.identifier.epage | 359 | - |
dc.identifier.eissn | 1467-985X | - |
dc.identifier.isi | WOS:000235333700010 | - |