How reliable is the statistical evidence for limiting saturated fat intake? A fresh look at the influential Hooper meta-analysis.

Show simple item record Thornley, Simon en Schofield, Grant en Zinn, Caryn en Henderson, George en 2020-01-12T23:03:47Z en 2019-11 en
dc.identifier.issn 1444-0903 en
dc.identifier.uri en
dc.description.abstract BACKGROUND:Evidence from meta-analyses has been influential in deciding whether or not limiting saturated fat intake reduces the incidence of cardiovascular disease. Recently, random effects analyses have been criticised for exaggerating the influence of publication bias and an alternative proposed which obviates this issue: 'inverse-variance heterogeneity'. AIMS:We re-analysed the influential Hooper meta-analysis that supports limiting saturated fat intake to decide whether or not the results of the study were sensitive to the method used. METHODS:Inverse-variance heterogeneity analysis of this summary study was carried out, and the results contrasted with standard methods. Publication bias was also considered. RESULTS:Inverse variance heterogeneity analysis of the Hooper combined cardiovascular disease end point results returned a pooled relative risk of 0.93 (95% confidence interval: 0.74-1.16). This finding contrasts with the traditional random effects analysis with the corresponding statistic of 0.83 (95% confidence interval: 0.72-0.96). Egger tests, funnel and Doi plots along with recently published suppressed trial results suggest that publication bias is present. CONCLUSIONS:This study questions the use of the Hooper study as evidence to support limiting saturated fat intake. Our re-analysis, together with concordant results from other meta-analyses of trials indicate that routine advice to reduce saturated fat intake in people with (or at risk for) cardiovascular disease be reconsidered. en
dc.format.medium Print en
dc.language eng en
dc.relation.ispartofseries Internal medicine journal en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. en
dc.rights.uri en
dc.subject Humans en
dc.subject Cardiovascular Diseases en
dc.subject Dietary Fats en
dc.subject Fatty Acids en
dc.subject Linear Models en
dc.subject Risk en
dc.subject Publication Bias en
dc.subject Statistics as Topic en
dc.subject Meta-Analysis as Topic en
dc.title How reliable is the statistical evidence for limiting saturated fat intake? A fresh look at the influential Hooper meta-analysis. en
dc.type Journal Article en
dc.identifier.doi 10.1111/imj.14325 en
pubs.issue 11 en
pubs.begin-page 1418 en
pubs.volume 49 en
dc.rights.holder Copyright: The author en
pubs.end-page 1424 en
pubs.publication-status Published en
dc.rights.accessrights en
pubs.subtype Journal Article en
pubs.elements-id 786395 en Medical and Health Sciences en Population Health en Epidemiology & Biostatistics en
dc.identifier.eissn 1445-5994 en
pubs.record-created-at-source-date 2019-04-17 en
pubs.dimensions-id 30989765 en

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