Evidence mapPaperPMID 42083017Full record

ArticleBMC rheumatology2026

Parity, body mass index, smoking and risk of rheumatoid arthritis: data from the Australian Longitudinal Study on Women's Health.

Louise Koller-Smith, Ahmed Mehdi, Syeda Farah Zahir, Lyn March, Leigh Tooth, Gita D Mishra, Ranjeny Thomas

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Article in BMC rheumatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Louise Koller-SmithFrazer Institute, The University of Queensland, Woolloongabba, QLD, Australia.
Ahmed MehdiFrazer Institute, The University of Queensland, Woolloongabba, QLD, Australia.
Syeda Farah ZahirCentre for Health Services Research, Faculty of Medicine, University of Queensland, Brisbane, QLD, Australia.
Lyn MarchFlorance and Cope Professorial Department of Rheumatology, Royal North Shore Hospital and Kolling Institute and Sydney MSK Flagship, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia.
Leigh ToothAustralian Women and Girl's Health Research Centre, School of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Gita D MishraAustralian Women and Girl's Health Research Centre, School of Public Health, The University of Queensland, Brisbane, QLD, Australia.
Ranjeny ThomasFrazer Institute, The University of Queensland, Woolloongabba, QLD, Australia. ranjeny.thomas@uq.edu.au.ORCID http://orcid.org/0000-0002-0518-8386

Funding

NHMRC APP2008287NHMRC APP2009577
6 · The paper itself

Abstract

backgroundSmoking, obesity and lower parity appear to be associated with higher risk of rheumatoid arthritis (RA) in European, American and some Asian studies, but no studies have tested these associations in the Australian context.

methodsWe studied an incident RA cohort of the prospectively collected Australian Longitudinal Study on Women’s Health (ALSWH) dataset. Smoking status, body mass index (BMI) and parity were assessed using survey data. Incident RA status was determined using the government medication dispensing database. We used multivariable logistic regression models to assess the impact of smoking, BMI and parity on RA risk, controlling for age cohort, education and alcohol intake. We performed sensitivity analysis by repeating analyses in the 1946-51 cohort alone.

resultsAmong 40,393 women we identified 332 incident RA cases. Age, ever smoking, BMI and parity were significantly associated with RA risk on univariable analyses. Lower parity was associated with higher odds of RA after adjustment for all covariates (OR 1.12, 95% CI 1.00-1.25, p = 0.05), and became stronger (OR 1.29, 95% CI 1.18–1.40, p < 0.01) when age cohort was excluded. Ever smoking (OR 1.29, 95% CI 1.02–1.64, p = 0.03) was associated with a higher risk of RA controlling for all factors except age. Each unit increase in BMI was significantly associated with higher odds of RA (OR 1.03, 95% CI 1.01–1.05, p < 0.01) when controlled for smoking, alcohol intake and education, but not once controlled for either age or parity.

conclusionUsing a novel case finding method for RA that relies entirely on pre-collected administrative data, we show an increased risk for RA in Australian women with smoking and lower parity when adjusted for BMI, alcohol intake and education.

Indexed as

LifestyleObesityParityRheumatoid arthritisRiskSmoking

Identifiers

PMID42083017
PMCPMC13141528

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.