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Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study)

OBJECTIVES: To investigate the association of lifestyle factors with risk of inflammatory polyarthritis (IP) and rheumatoid arthritis (RA). METHODS: The European Prospective Investigation of Cancer, Norfolk, UK (EPIC-Norfolk) gathered lifestyle data from participants aged 40–79 years from 1993 to 19...

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Autores principales: Lahiri, Manjari, Luben, Robert N, Morgan, Catharine, Bunn, Diane K, Marshall, Tarnya, Lunt, Mark, Verstappen, Suzanne M M, Symmons, Deborah P M, Khaw, Kay-Tee, Wareham, Nick, Bruce, Ian N
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3888611/
https://www.ncbi.nlm.nih.gov/pubmed/23505230
http://dx.doi.org/10.1136/annrheumdis-2012-202481
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author Lahiri, Manjari
Luben, Robert N
Morgan, Catharine
Bunn, Diane K
Marshall, Tarnya
Lunt, Mark
Verstappen, Suzanne M M
Symmons, Deborah P M
Khaw, Kay-Tee
Wareham, Nick
Bruce, Ian N
author_facet Lahiri, Manjari
Luben, Robert N
Morgan, Catharine
Bunn, Diane K
Marshall, Tarnya
Lunt, Mark
Verstappen, Suzanne M M
Symmons, Deborah P M
Khaw, Kay-Tee
Wareham, Nick
Bruce, Ian N
author_sort Lahiri, Manjari
collection PubMed
description OBJECTIVES: To investigate the association of lifestyle factors with risk of inflammatory polyarthritis (IP) and rheumatoid arthritis (RA). METHODS: The European Prospective Investigation of Cancer, Norfolk, UK (EPIC-Norfolk) gathered lifestyle data from participants aged 40–79 years from 1993 to 1997. Individuals who subsequently developed IP were identified by linkage with the Norfolk Arthritis Register. A Cox proportional hazard model was developed, and a score assigned to each risk factor to calculate the odds of developing IP. RESULTS: 25 455 EPIC participants were followed for a median (IQR) of 14.2 (12.9, 15.3) years; 184 developed incident IP (138 cumulatively fulfilled criteria for RA; 107 were seropositive). Pack-years of smoking were associated with increased risk of IP and RA in men (HR 1.21 (95% CI 1.08 to 1.37) per 10-pack-years) and seropositive IP (HR 1.24 (95% CI 1.10 to 1.41)) for all. Diabetes mellitus was associated with increased risk of IP (HR 2.54 (95% CI 1.26 to 5.09)), while alcohol (HR 0.86 (95% CI 0.74 to 0.99) per unit/day) and higher social class (HR 0.36 (95% CI 0.15 to 0.89) for professionals vs manual workers) were associated with reduced risk. Body mass index was associated with seronegative IP (HR 2.75 (95% CI 1.39 to 5.46) for obese vs normal-weight participants). In women, parity (HR 2.81 (95% CI 1.37 to 5.76) for ≥2 vs no children) was associated with increased risk, and breast feeding (HR 0.66 (95% CI 0.46 to 0.94) for every 52 weeks of breast feeding) was inversely associated with risk. Risk factors from the model were used to generate a ‘risk score’. A total of 1159 (8.4%) women had scores reflecting a >3-fold increased risk of IP over those with a score of 0. CONCLUSIONS: Several easily ascertained clinical and lifestyle factors can be used to stratify populations for risk of IP.
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spelling pubmed-38886112014-01-14 Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study) Lahiri, Manjari Luben, Robert N Morgan, Catharine Bunn, Diane K Marshall, Tarnya Lunt, Mark Verstappen, Suzanne M M Symmons, Deborah P M Khaw, Kay-Tee Wareham, Nick Bruce, Ian N Ann Rheum Dis Clinical and Epidemiological Research OBJECTIVES: To investigate the association of lifestyle factors with risk of inflammatory polyarthritis (IP) and rheumatoid arthritis (RA). METHODS: The European Prospective Investigation of Cancer, Norfolk, UK (EPIC-Norfolk) gathered lifestyle data from participants aged 40–79 years from 1993 to 1997. Individuals who subsequently developed IP were identified by linkage with the Norfolk Arthritis Register. A Cox proportional hazard model was developed, and a score assigned to each risk factor to calculate the odds of developing IP. RESULTS: 25 455 EPIC participants were followed for a median (IQR) of 14.2 (12.9, 15.3) years; 184 developed incident IP (138 cumulatively fulfilled criteria for RA; 107 were seropositive). Pack-years of smoking were associated with increased risk of IP and RA in men (HR 1.21 (95% CI 1.08 to 1.37) per 10-pack-years) and seropositive IP (HR 1.24 (95% CI 1.10 to 1.41)) for all. Diabetes mellitus was associated with increased risk of IP (HR 2.54 (95% CI 1.26 to 5.09)), while alcohol (HR 0.86 (95% CI 0.74 to 0.99) per unit/day) and higher social class (HR 0.36 (95% CI 0.15 to 0.89) for professionals vs manual workers) were associated with reduced risk. Body mass index was associated with seronegative IP (HR 2.75 (95% CI 1.39 to 5.46) for obese vs normal-weight participants). In women, parity (HR 2.81 (95% CI 1.37 to 5.76) for ≥2 vs no children) was associated with increased risk, and breast feeding (HR 0.66 (95% CI 0.46 to 0.94) for every 52 weeks of breast feeding) was inversely associated with risk. Risk factors from the model were used to generate a ‘risk score’. A total of 1159 (8.4%) women had scores reflecting a >3-fold increased risk of IP over those with a score of 0. CONCLUSIONS: Several easily ascertained clinical and lifestyle factors can be used to stratify populations for risk of IP. BMJ Publishing Group 2014-01 2013-03-16 /pmc/articles/PMC3888611/ /pubmed/23505230 http://dx.doi.org/10.1136/annrheumdis-2012-202481 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Clinical and Epidemiological Research
Lahiri, Manjari
Luben, Robert N
Morgan, Catharine
Bunn, Diane K
Marshall, Tarnya
Lunt, Mark
Verstappen, Suzanne M M
Symmons, Deborah P M
Khaw, Kay-Tee
Wareham, Nick
Bruce, Ian N
Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study)
title Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study)
title_full Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study)
title_fullStr Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study)
title_full_unstemmed Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study)
title_short Using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the European Prospective Investigation of Cancer-Norfolk and the Norfolk Arthritis Register—the EPIC-2-NOAR Study)
title_sort using lifestyle factors to identify individuals at higher risk of inflammatory polyarthritis (results from the european prospective investigation of cancer-norfolk and the norfolk arthritis register—the epic-2-noar study)
topic Clinical and Epidemiological Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3888611/
https://www.ncbi.nlm.nih.gov/pubmed/23505230
http://dx.doi.org/10.1136/annrheumdis-2012-202481
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