Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/106815
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Type: Journal article
Title: Predictors of foot pain in the community: the North West Adelaide health study
Author: Gill, T.
Menz, H.
Landorf, K.
Arnold, J.
Taylor, A.
Hill, C.
Citation: Journal of Foot and Ankle Research, 2016; 9(1):23-1-23-8
Publisher: BioMed Central
Issue Date: 2016
ISSN: 1757-1146
1757-1146
Statement of
Responsibility: 
Tiffany K. Gill, Hylton B. Menz, Karl B. Landorf, John B. Arnold, Anne W. Taylor and Catherine L. Hill
Abstract: Background: Foot pain has been shown to be prevalent across all age groups. The presence of foot pain may reduce mobility and impact on the ability to undertake activities of daily living. The aim of this study was to determine factors that are predictive of foot pain in a community based sample of the general population. Methods: This study analysed data from the North West Adelaide Health Study, a cohort study located in the northwestern suburbs of Adelaide, South Australia. Data were obtained between 2004–2006 and 2008–2010, using a self-completed questionnaire, computer assisted telephone interviewing, and a clinical assessment. The sensitivity, specificity and positive predictive values of variables were determined and generalised linear models ascertained the variables associated with the highest relative risk of self-reporting foot pain in 2008–2010 based on the data obtained in 2004–2006. Results: The prevalence of foot pain in 2004–2006 was 14.9 % (95 % CI 13.6–16.4) and in 2008–2010, 29.9 % (95 % CI 27.5–32.5). Variables with the highest sensitivity were: female sex, ever having back pain, self-reported arthritis, body mass index (BMI) classified as obese and having foot pain in 2004–2006, while most variables demonstrated high specificity. Those with the highest risk of reporting foot pain in 2008–2010 were those with depressive symptoms, self-reported arthritis, high BMI, self-reported upper limb pain and foot pain (in general or in specific regions of the foot) in 2004–2006. Conclusion: Foot pain is common in the general population and those with the greatest risk of foot pain potentially represent a high level of chronicity and potential burden on the health system. Addressing the factors that predict foot pain, as well as the provision of targeted messages to highlight the importance of managing foot pain, may help reduce the impact on the population.
Keywords: Pain; epidemiology; predictors; cohort; population studies
Description: Published online: 13 July 2016
Rights: © 2016 The Author(s). Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
RMID: 0030051815
DOI: 10.1186/s13047-016-0150-9
Grant ID: http://purl.org/au-research/grants/nhmrc/1020925
Appears in Collections:Medicine publications

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