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  • Socioeconomic status and multimorbidity: a systematic review and meta-analysis

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    Pathirana177903.pdf (302.1Kb)
    Author(s)
    Pathirana, Thanya I
    Jackson, Caroline A
    Griffith University Author(s)
    Pathirana, Thanya I.
    Year published
    2018
    Metadata
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    Abstract
    Objectives: We performed a systematic review to identify, critically appraise and synthesise the existing literature on the association between SEP and multimorbidity occurrence. Methods: We searched Medline and Embase from inception to December 2014. Where possible we performed meta‐analysis to obtain summary odds ratios (ORs), exploring heterogeneity between studies through sub‐group analysis. Results: We identified 24 cross‐sectional studies that largely reported on education, deprivation or income in relation to multimorbidity occurrence. Differences in analysis methods allowed pooling of results for education only. ...
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    Objectives: We performed a systematic review to identify, critically appraise and synthesise the existing literature on the association between SEP and multimorbidity occurrence. Methods: We searched Medline and Embase from inception to December 2014. Where possible we performed meta‐analysis to obtain summary odds ratios (ORs), exploring heterogeneity between studies through sub‐group analysis. Results: We identified 24 cross‐sectional studies that largely reported on education, deprivation or income in relation to multimorbidity occurrence. Differences in analysis methods allowed pooling of results for education only. Low versus high education level was associated with a 64% increased odds of multimorbidity (summary OR: 1.64, 95% CI 1.41 to 1.91), with substantial heterogeneity between studies partly explained by method of multimorbidity ascertainment. Increasing deprivation was consistently associated with increasing risk of multimorbidity, whereas the evidence on income was mixed. Few studies reported on interaction with age or sex. Conclusions: More methodologically robust studies that address these gaps and investigate alternate measures of social circumstances and environment may advance our understanding of how SEP affects multimorbidity risk. Implications for public health: A deeper understanding of the socioeconomic and demographic patterning of multimorbidity will help identify sub‐populations at greatest risk of becoming multimorbid.
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    Journal Title
    Australian and New Zealand Journal of Public Health
    Volume
    42
    Issue
    2
    DOI
    https://doi.org/10.1111/1753-6405.12762
    Copyright Statement
    © 2018 The Authors. This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
    Subject
    Applied Economics
    Public Health and Health Services
    Policy and Administration
    Publication URI
    http://hdl.handle.net/10072/384397
    Collection
    • Journal articles

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