Can large but highly selected population surveys provide valid information on the descriptive epidemiology and associations of common health conditions?: An analysis of UK biobank data on chronic pain

G. J. Macfarlane; M. Beasley; B. H. Smith; G. T. Jones; T. MacFarlane

doi:10.1093/ije/dyv096.164

Can large but highly selected population surveys provide valid information on the descriptive epidemiology and associations of common health conditions? An analysis of UK biobank data on chronic pain

G. J. Macfarlane, M. Beasley, B. H. Smith, G. T. Jones, T. MacFarlane

University of Dundee

Research output: Contribution to journal › Abstract › peer-review

Abstract

INTRODUCTION: Large-scale epidemiological studies to investigate genetic and environmental influences on disease often have very low participation rates. We aimed to determine the extent of selection bias within one such study, UK Biobank. The focus of the investigation was chronic pain and the extent to which this study replicated information on prevalence and associated factors determined from previous studies.

Original language	English
Pages (from-to)	144
Number of pages	1
Journal	International Journal of Epidemiology
Volume	44
Issue number	Suppl. 1
Early online date	23 Sept 2015
DOIs	https://doi.org/10.1093/ije/dyv096.164
Publication status	Published - Oct 2015
Event	20th IEA World Congress of Epidemiology (WCE) - Anchorage Duration: 17 Aug 2014 → 21 Aug 2014

Keywords

Epidemiology
Chronic pain
biobanks

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Macfarlane, G. J., Beasley, M., Smith, B. H., Jones, G. T., & MacFarlane, T. (2015). Can large but highly selected population surveys provide valid information on the descriptive epidemiology and associations of common health conditions? An analysis of UK biobank data on chronic pain. International Journal of Epidemiology, 44(Suppl. 1), 144. https://doi.org/10.1093/ije/dyv096.164

Can large but highly selected population surveys provide valid information on the descriptive epidemiology and associations of common health conditions? An analysis of UK biobank data on chronic pain. / Macfarlane, G. J.; Beasley, M.; Smith, B. H. et al.
In: International Journal of Epidemiology, Vol. 44, No. Suppl. 1, 10.2015, p. 144.

Research output: Contribution to journal › Abstract › peer-review

Macfarlane, GJ , Beasley, M, Smith, BH, Jones, GT & MacFarlane, T 2015, 'Can large but highly selected population surveys provide valid information on the descriptive epidemiology and associations of common health conditions? An analysis of UK biobank data on chronic pain', International Journal of Epidemiology, vol. 44, no. Suppl. 1, pp. 144. https://doi.org/10.1093/ije/dyv096.164

Macfarlane GJ , Beasley M, Smith BH, Jones GT , MacFarlane T. Can large but highly selected population surveys provide valid information on the descriptive epidemiology and associations of common health conditions? An analysis of UK biobank data on chronic pain. International Journal of Epidemiology. 2015 Oct;44(Suppl. 1):144. Epub 2015 Sept 23. doi: 10.1093/ije/dyv096.164

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abstract = "INTRODUCTION: Large-scale epidemiological studies to investigate genetic and environmental influences on disease often have very low participation rates. We aimed to determine the extent of selection bias within one such study, UK Biobank. The focus of the investigation was chronic pain and the extent to which this study replicated information on prevalence and associated factors determined from previous studies.",

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AB - INTRODUCTION: Large-scale epidemiological studies to investigate genetic and environmental influences on disease often have very low participation rates. We aimed to determine the extent of selection bias within one such study, UK Biobank. The focus of the investigation was chronic pain and the extent to which this study replicated information on prevalence and associated factors determined from previous studies.

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Can large but highly selected population surveys provide valid information on the descriptive epidemiology and associations of common health conditions? An analysis of UK biobank data on chronic pain

Abstract

Keywords

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