ORIGINAL RESEARCH article

Front. Med., 23 May 2025

Sec. Pulmonary Medicine

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1577180

Rheumatoid arthritis and chronic obstructive pulmonary disease in US adults: a cross-sectional analysis

    PM

    Panpan Mi 1

    HW

    Huijie Wang 2

    GF

    Guofeng Fan 1

    SC

    Shengle Chen 1

    XC

    Xiaoyuan Chen 1

    XC

    Xu Cao 2

    HF

    Haixia Feng 3*

  • 1. Department of Orthopedics, Hebei Petro China Central Hospital, Langfang, China

  • 2. Department of Endoscopy, Shijiazhuang Traditional Chinese Medicine Hospital, Shijiazhuang, China

  • 3. Department of Tuberculosis, Shandong Public Health Clinical Center, Shandong University, Shandong, China

Article metrics

View details

2

Citations

2k

Views

478

Downloads

Abstract

Background:

Globally, chronic obstructive pulmonary disease (COPD) has emerged as one of the most prevalent chronic respiratory disorders, imposing substantial healthcare challenges and contributing significantly to premature mortality. Emerging evidence indicates that chronic inflammation and immune responses play crucial roles in the pathogenesis and progression of COPD. Rheumatoid arthritis (RA) is a chronic immune-mediated multisystem disease, but its association with COPD remains inconsistent. The primary objective of this investigation is to assess the potential association between RA and COPD.

Methods:

Data were derived from the National Health and Nutrition Examination Survey from 2007 to March 2020, which encompassed 25,682 participants. Multivariable logistic regression models were employed to assess the relationship between RA and COPD. To comprehensively evaluate the association’s robustness, we conducted subgroup analyses along with sensitivity analyses, examining potential confounding factors and effect modifiers.

Results:

RA was associated with a higher prevalence of COPD even after adjusting for demographic, socioeconomic, lifestyle, and health-related factors (adjusted OR = 1.52, 95% CI: 1.23–1.87, p < 0.001). Sensitivity and subgroup analyses confirmed the robustness of these results.

Conclusion:

RA is significantly associated with COPD in US adults, highlighting the importance of early detection and preventive strategies aimed at mitigating COPD risk in patients with RA.

1 Introduction

Chronic obstructive pulmonary disease (COPD) is a major global health concern, with its prevalence on the rise (1). Although smoking is the main risk factor for COPD development and progression (2), the significant number of non-smoking COPD patients indicates the involvement of additional factors (3). Emerging evidence indicates that chronic inflammation and immune responses are key contributors to the development and advancement of COPD (4–6) and have also shown associations with autoimmune diseases such as rheumatoid arthritis (RA) (7–9).

RA is a chronic immune-mediated multisystem disease, the most common systemic inflammatory rheumatic disease (10, 11). Patients with RA often have extra-articular manifestations, including pulmonary involvement, manifesting as airway or parenchymal inflammation and fibrosis (12). Indeed, up to half of patients with RA develop respiratory diseases over their lifetime (13), and previous research has demonstrated a higher incidence of COPD in patients with RA compared with those without RA (14). These observations suggest a shared pathophysiological basis—encompassing systemic inflammation, smoking, and dysregulated immune responses (7). Notably, seropositive RA is characterized by the production of anti-citrullinated protein antibodies, which can form immune complexes in the lung, activate macrophages, and trigger proinflammatory cytokine release, potentially damaging lung tissue (15–17). Additionally, smoking is regarded as a major shared risk factor in the development of both RA and COPD, possibly heightening COPD risk in patients with RA via oxidative stress and immune dysregulation (18).

Despite these recognized mechanistic overlaps, findings on the RA-COPD relationship have been inconsistent across different populations (8, 19–23). Moreover, there is no nationally representative data examining whether this association holds among U.S. adults. Therefore, our study, using data from the National Health and Nutrition Examination Survey (NHANES), aims to test the hypothesis that RA is independently associated with COPD and to evaluate potential effect modifiers of this association. Elucidating these relationships can aid healthcare providers in detecting COPD and arthritis symptoms earlier and inform more effective preventive strategies.

2 Materials and methods

2.1 Study population

The data for this study are derived from the NHANES conducted by the Centers for Disease Control and Prevention. NHANES is a nationally representative, cross-sectional survey designed to evaluate the health and nutritional status of the U.S. civilian non-institutionalized population through interviews, physical examinations, and laboratory tests. This nationwide representative survey collects information including demographic data, physical measurements, and laboratory data from participants. The NCHS Research Ethics Review Board approved all survey protocols, and all participants provided written informed consent.

We selected the NHANES cycles that include information on RA and COPD, covering the survey periods from 2007 to March 2020. Initially, 66,148 participants were included. We excluded those without COPD data (n = 21,170), without RA data (n = 9,863), and those with missing covariate data (n = 9,433). Finally, 25,682 participants were analyzed (for details, see Figure 1).

Figure 1

Figure 1

The flow chart.

2.2 COPD

COPD diagnosis was established using objective spirometry criteria and self-reported medical diagnoses (24). Trained technicians conducted spirometry in adherence to guidelines set by the European Respiratory Society and the American Thoracic Society. Airflow limitation was defined by a post-bronchodilator forced expiratory volume in one second to forced vital capacity ratio of less than 0.70. Additionally, participants were classified as having COPD if they reported being diagnosed with emphysema, chronic bronchitis, or COPD by a physician or healthcare professional.

2.3 RA

The diagnosis of RA in this study was determined using a self-reported questionnaire. Participants were initially asked whether a healthcare professional had ever informed them of an arthritis diagnosis. Those who affirmed this were subsequently questioned about the specific type of arthritis diagnosed. Based on these responses, participants were categorized into either the RA group or the non-RA group. Previous research has validated the acceptability of self-reported RA diagnoses for large-scale epidemiological studies, particularly when a direct rheumatologist examination is impractical (25).

2.4 Covariates

In this study, we adjusted for multiple covariates to ensure the accuracy of the assessment of the association between RA and COPD. These covariates included: age, sex, body mass index (BMI), race, education level, marital status, poverty income ratio, physical activity, smoking status, drinking status, high-density lipoprotein cholesterol (HDL-C), total cholesterol (TC), systemic immune inflammation index (SII, platelet count × neutrophil count/lymphocyte count), hypertension, diabetes, coronary heart disease, and stroke.

2.5 Statistical analysis

All analyses were performed using R (v.4.2.2) and Free Statistics software (v.2.1), incorporating the sample weights, with results reported as odds ratios (ORs) and 95% confidence intervals (CIs). Baseline characteristics were compared using the Student’s t-test (continuous variables) and the chi-square test (categorical variables). To address missing data, multiple imputation by chained equations was applied. The association between RA and COPD was assessed using multivariable logistic regression and subgroup analyses, with confounders selected based on literature or a >10% change-in-effect estimate. Four models were evaluated: an unadjusted Crude Model, Model 1 (adjusted for sex and age), Model 2 (further adjusted for BMI, race, smoking status, drinking status, marital status, education level, physical activity, and poverty income ratio), and Model 3 (additionally adjusted for TC, HDL-C, and SII). Statistical significance was defined as a p-value <0.05.

3 Results

This study analyzed data from 25,682 participants, including 1,741 individuals with COPD and 23,941 without COPD (Table 1). The results indicated that the COPD group had a higher mean age, greater BMI, lower educational attainment, lower poverty income ratio, and a higher proportion of insufficient physical activity and smoking. Additionally, the COPD group exhibited a higher prevalence of RA, coronary heart disease, diabetes, hypertension, and stroke. Significant differences were also observed in racial and marital status distributions. These findings suggest that COPD is significantly associated with various demographic, socioeconomic, lifestyle, and health-related factors.

Table 1

Variables Total n = 25,682 With COPD n = 1,741 Without COPD n = 23,941 p-value
Age, year 46.76 (0.26) 57.28 (0.57) 46.02 (0.25) <0.001
Sex, male 12,718 (48.98%) 897 (47.47%) 11,821 (49.08%) 0.320
BMI, kg/m2 29.09 (0.08) 30.19 (0.24) 29.02 (0.09) <0.001
Marital status <0.001
Married or living with a partner 15,414 (63.86%) 927 (59.51%) 14,487 (64.16%)
Widowed/divorced/separated 5,380 (17.44%) 598 (28.94%) 4,782 (16.64%)
Never married 4,888 (18.70%) 216 (11.55%) 4,672 (19.20%)
Race <0.001
Mexican American 3,697 (8.26%) 95 (2.51%) 3,602 (8.66%)
Other Hispanic 2,623 (5.76%) 132 (3.52%) 2,491 (5.91%)
Non-Hispanic White 10,977 (68.27%) 1,063 (78.50%) 9,914 (67.56%)
Non-Hispanic Black 5,319 (10.06%) 312 (8.20%) 5,007 (10.19%)
Others 3,066 (7.65%) 139 (7.26%) 2,927 (7.68%)
Education level, year <0.001
<9 5,491 (13.67%) 443 (17.83%) 5,048 (13.38%)
9–12 5,809 (22.85%) 459 (30.46%) 5,350 (22.32%)
>12 14,382 (63.48%) 839 (51.71%) 13,543 (64.30%)
Poverty income ratio 3.09 (1.54, 5.00) 2.26 (1.22, 4.28) 3.14 (1.57, 5.00) <0.001
Physical activities <0.001
Inadequate 14,667 (62.67%) 814 (53.20%) 13,853 (63.34%)
Adequate 11,015 (37.33%) 927 (46.80%) 10,088 (36.66%)
Smoking status <0.001
Never 14,468 (56.40%) 478 (27.05%) 13,990 (58.46%)
Former 6,064 (24.66%) 626 (36.17%) 5,438 (23.86%)
Current 5,150 (18.93%) 637 (36.78%) 4,513 (17.68%)
Drinking status <0.001
No 3,299 (9.80%) 142 (6.27%) 3,157 (10.05%)
Yes 22,383 (90.20%) 1,599 (93.73%) 20,784 (89.95%)
HDL-C, mg/dL 53.53 (0.23) 52.62 (0.60) 53.60 (0.24) 0.012
TC, mg/dL 192.49 (0.50) 192.77 (1.56) 192.48 (0.51) 0.740
SII 535.10 (3.83) 618.11 (12.49) 529.30 (3.68) <0.001
RA 1,501 (4.27%) 221 (9.89%) 1,280 (3.87%) <0.001
Hypertension 10,490 (36.15%) 1,062 (56.16%) 9,428 (34.75%) <0.001
Diabetes 4,624 (13.56%) 496 (23.49%) 4,128 (12.87%) <0.001
Coronary heart disease 974 (3.28%) 221 (12.45%) 753 (2.64%) <0.001
Stroke 897 (2.71%) 152 (8.47%) 745 (2.30%) <0.001

Participants characteristics, weighted.

COPD, chronic obstructive pulmonary disease; BMI, body mass index; TC, total cholesterol; HDL-C, high-density lipoprotein cholesterol; SII, systemic immune inflammation index; RA, rheumatoid arthritis. Categorical variables are expressed as unweighted counts (weighted percentages), while continuous variables are reported as weighted means (standard deviations) or weighted medians (interquartile ranges).

The multivariable logistic regression analysis (Table 2) demonstrated a significant association between RA and COPD. In the crude model, RA was significantly associated with COPD (OR = 2.72, 95% CI: 2.26–3.29, p < 0.001). After adjusting for sex and age in Model 1, the association remained significant (OR = 1.94, 95% CI: 1.59–2.37, p < 0.001). Further adjustments in Model 2, which included demographic, socioeconomic, lifestyle, and health-related factors, still showed a significant association (OR = 1.54, 95% CI: 1.25–1.90, p < 0.001). Finally, in Model 3, which included additional adjustments for TC, HDL-C, and SII, the association between RA and COPD remained significant (OR = 1.52, 95% CI: 1.23–1.87, p < 0.001). Clinically, this adjusted OR indicates approximately 52% higher odds of COPD among patients with RA compared with individuals without RA.

Table 2

Model OR (95% CI) p-value
Crude Model 2.72 (2.26–3.29) <0.001
Model 1a 1.94 (1.59–2.37) <0.001
Model 2b 1.54 (1.25–1.90) <0.001
Model 3c 1.52 (1.23–1.87) <0.001

Multivariable logistic regression analysis of the association between rheumatoid arthritis and chronic obstructive pulmonary disease, weighted.

a

Adjusted by sex and age.

b

Adjusted by Model 1 + body mass index, race, smoking status, drinking status, marital status, education level, physical activity, poverty income ratio, diabetes, coronary heart disease, stroke, and hypertension.

c

Adjusted by Model 2 + total cholesterol, systemic immune inflammation index, high-density lipoprotein cholesterol.

Sensitivity analysis (Supplementary Table S1) using multiple imputations confirmed the robustness of these results. The crude model in the imputed data showed an OR of 2.93 (95% CI: 2.42–3.55, p < 0.001). The association remained significant after adjusting for sex and age (OR = 2.06, 95% CI: 1.69–2.50, p < 0.001), further covariates in Model 2 (OR = 1.66, 95% CI: 1.35–2.03, p < 0.001), and additional adjustments in Model 3 (OR = 1.64, 95% CI: 1.34–2.01, p < 0.001).

Subgroup analysis (Figure 2) showed that the association between RA and COPD remained consistent across various demographic and health-related factors. In the age subgroup analysis, the results indicated a p for the interaction of 0.016, but this was not statistically significant after Bonferroni correction for multiple testing. Overall, subgroup analyses showed consistent and robust associations between RA and COPD.

Figure 2

Figure 2

Subgroup analysis of rheumatoid arthritis and chronic obstructive pulmonary disease, weighted.

4 Discussion

In this nationally representative cross-sectional study, we found a positive association between RA and COPD, even after adjusting for sociodemographic factors, known risk factors, and comorbidities. Adults with RA had a 52% higher prevalence of COPD compared to those without RA, and subgroup analyses confirmed the stability of this association. Our results underline that patients with RA constitute a high-risk group warranting proactive respiratory monitoring and targeted preventive interventions to mitigate COPD-related morbidity in clinical practice.

In 2013, Nannini et al. (14) first reported that the incidence of COPD was significantly higher in patients with RA compared to those without RA. Subsequently, numerous studies have continued to report on the relationship between RA and COPD, with most suggesting that RA increases the risk of COPD (8, 19, 20, 23), consistent with our findings. Notably, a large prospective cohort study in Korea demonstrated that patients with RA had a higher risk of developing COPD compared to controls (aHR, 2.11; 95% CI, 1.96–2.28). Conversely, two cohort studies from Korea found a negative association between RA and COPD (21, 22), which researchers attributed to heterogeneity in study populations or definitions of COPD. This underscores the necessity of our nationally representative study, which provides new epidemiological information on the association between RA and COPD in US adults.

Several potential mechanisms could explain the association between RA and COPD. Firstly, RA is a systemic disease characterized by its impact on joints and multiple organ systems (10). It induces persistent systemic inflammation, which can result in significant immune dysfunction. A key feature of seropositive RA is the production of anti-citrullinated protein antibodies (ACPAs) (26), which can be generated in synovial sites and extra-articular locations, including the lung (15). ACPAs can form immune complexes and activate macrophages through binding with Fcgamma receptor IIa, leading to the release of pro-inflammatory cytokines such as TNF, IL-8, and IL-6 (16), which may cause damage to the pulmonary mucosa, airways, and interstitium. Additionally, in vitro studies have shown that ACPAs mediate neutrophil death and necrosis, promoting peripheral aberrant adaptive and innate immune responses via the externalization of citrullinated self-antigens and immunostimulatory molecules, establishing a perpetuating pathogenic mechanism (17). It has been suggested that the lungs themselves may be early targets of ACPA-induced damage, with chronic airway disease being a manifestation of ACPA-mediated pulmonary injury (12). Secondly, smoking poses a shared risk for the development of RA and COPD (27). Evidence supports a direct link between smoking and seropositive RA (28–31), suggesting that smoking may be the most critical exogenous factor for autoimmune development before the onset of RA. Smoking-induced oxidative stress (32), activation and dysregulation of innate and adaptive immune cells (33, 34), and epithelial cell renewal and regeneration after injury (35, 36) may be associated with the development of chronic lung disease in patients with RA. Therefore, smoking is likely a confounding factor for the association between RA and COPD. Our models adjusted for smoking status, and results indicated that RA remained positively associated with COPD even after accounting for smoking status. Notably, although we further included variables such as the SII in our multivariable model, the association between RA and COPD was only slightly attenuated. This minimal change does not necessarily suggest a negligible role of systemic inflammation; rather, it may reflect the limited sensitivity of SII in capturing the chronic low-grade inflammation and immune dysregulation that are characteristic of both RA and COPD. Given the limitations of the NHANES dataset, SII was the most representative inflammation-related marker available. Future studies are warranted to incorporate more specific immunological biomarkers, such as anti-citrullinated protein antibodies, cytokine profiles, or immune cell subtypes, to further elucidate the immunopathological mechanisms underlying the RA–COPD association.

The high prevalence of COPD in patients with RA poses substantial challenges, as current RA treatments do not have significant beneficial effects on COPD prevention or disease progression (12). Understanding the association between RA and COPD may provide opportunities for primary prevention of COPD in at-risk individuals, such as early patients with RA who smoke or smokers with a family history of RA. Nonetheless, additional studies are required to confirm the underlying cellular and molecular mechanisms of this association, aiding clinicians in closely monitoring disease progression and prognosis.

Given the potential shared immune and inflammatory pathways underlying RA and COPD, routine respiratory screening by rheumatologists is warranted in clinical practice. Patients with RA, particularly those presenting with respiratory symptoms or additional risk factors such as smoking history, should undergo timely pulmonary function assessments for early COPD detection and management. Incorporating COPD screening and management strategies into standard care for patients with RA could improve quality of life, slow disease progression, and reduce COPD-related hospitalizations and healthcare costs. Enhanced interdisciplinary collaboration between rheumatologists and pulmonologists is thus essential to optimize overall patient outcomes.

Longitudinal studies are warranted to clarify the temporal and causal relationship between RA and COPD. Biomarker validation will also be a critical future research direction; identifying biomarkers common to RA and COPD could enhance our understanding of shared pathological mechanisms and facilitate earlier diagnosis and individualized treatment strategies. Furthermore, genetic research exploring susceptibility loci may reveal how specific genotypes influence COPD risk in patients with RA. These studies will provide deeper insights into the RA-COPD association, thereby informing clinical intervention and public health strategies.

This study has several limitations. Firstly, the cross-sectional design limits the ability to infer causality between RA and COPD. Secondly, several variables—including the diagnosis of RA—were self-reported, introducing potential recall bias and misclassification. Third, despite adjusting for multiple covariates, residual confounding factors that were not accounted for in the analysis may still exist. Fourth, information on participants’ medication use was not available. Given that individuals with RA and COPD often receive long-term pharmacologic treatments, the lack of medication data could have influenced both disease status and the observed associations. Finally, these findings may not apply to different populations.

5 Conclusion

Rheumatoid arthritis is associated with COPD among U.S. adults, emphasizing the need for routine respiratory screening, timely pulmonary referral, and preventive interventions to reduce COPD-related morbidity and healthcare burden.

Statements

Data availability statement

The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: the dataset generated and analyzed during the current study is available from the corresponding author upon reasonable request. Additionally, NHANES is a public dataset that can be freely accessed at http://www.cdc.gov/nchs/nhanes/.

Ethics statement

The studies involving humans were approved by the NCHS Research Ethics Review Board reviewed and approved the NHANES study protocol. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

PM: Conceptualization, Writing – original draft, Writing – review & editing. HW: Conceptualization, Writing – original draft, Writing – review & editing. GF: Formal analysis, Writing – original draft. SC: Formal analysis, Writing – original draft. XCh: Formal analysis, Writing – original draft. XCa: Formal analysis, Writing – original draft. HF: Conceptualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research and/or publication of this article.

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The authors declare that no Gen AI was used in the creation of this manuscript.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fmed.2025.1577180/full#supplementary-material

References

  • 1.

    Adeloye D Song P Zhu Y Campbell H Sheikh A Rudan I . Global, regional, and national prevalence of, and risk factors for, chronic obstructive pulmonary disease (COPD) in 2019: a systematic review and modelling analysis. Lancet Respir Med. (2022) 10:44758. doi: 10.1016/S2213-2600(21)00511-7

  • 2.

    Szalontai K Gémes N Furák J Varga T Neuperger P Balog et al . Chronic obstructive pulmonary disease: epidemiology, biomarkers, and paving the way to lung cancer. J Clin Med. (2021) 10:2889. doi: 10.3390/jcm10132889

  • 3.

    Dhital R Basnet S Paudel P Acharya YP Poudel DR . Prevalence of chronic obstructive pulmonary disease (COPD) among rheumatoid arthritis: results from national inpatient database. J Community Hosp Intern Med Perspect. (2018) 8:2114. doi: 10.1080/20009666.2018.1485460

  • 4.

    Rovina N Koutsoukou A Koulouris NG . Inflammation and immune response in COPD: where do we stand?Mediat Inflamm. (2013) 2013:413735. doi: 10.1155/2013/413735

  • 5.

    Wen L Krauss-Etschmann S Petersen F Yu X . Autoantibodies in chronic obstructive pulmonary disease. Front Immunol. (2018) 9:66. doi: 10.3389/fimmu.2018.00066

  • 6.

    Agustí A MacNee W Donaldson K Cosio M . Hypothesis: does COPD have an autoimmune component?Thorax. (2003) 58:8324. doi: 10.1136/thorax.58.10.832

  • 7.

    Wang M Pan H Zhai Y Li H Huang L Xie Z et al . Bidirectional association between rheumatoid arthritis and chronic obstructive pulmonary disease: a systematic review and meta-analysis. Front Immunol. (2024) 15:1494003. doi: 10.3389/fimmu.2024.1494003

  • 8.

    Chung C Kim H Han K Jung J Eun Y Lee H et al . Does rheumatoid arthritis increase the risk of COPD?: A nationwide retrospective cohort study. Chest. (2024) 165:136271. doi: 10.1016/j.chest.2024.02.014

  • 9.

    Ungprasert P Srivali N Cheungpasitporn W Davis Iii JM . Risk of incident chronic obstructive pulmonary disease in patients with rheumatoid arthritis: a systematic review and meta-analysis. Joint Bone Spine. (2016) 83:2904. doi: 10.1016/j.jbspin.2015.05.016

  • 10.

    Finckh A Gilbert B Hodkinson B Bae S-C Thomas R Deane KD et al . Global epidemiology of rheumatoid arthritis. Nat Rev Rheumatol. (2022) 18:591602. doi: 10.1038/s41584-022-00827-y

  • 11.

    Venetsanopoulou AI Alamanos Y Voulgari PV Drosos AA . Epidemiology of rheumatoid arthritis: genetic and environmental influences. Expert Rev Clin Immunol. (2022) 18:92331. doi: 10.1080/1744666X.2022.2106970

  • 12.

    Wang D Zhang J Lau J Wang S Taneja V Matteson EL et al . Mechanisms of lung disease development in rheumatoid arthritis. Nat Rev Rheumatol. (2019) 15:58196. doi: 10.1038/s41584-019-0275-x

  • 13.

    Ma Y Tong H Zhang X Wang M Yang J Wu M et al . Chronic obstructive pulmonary disease in rheumatoid arthritis: a systematic review and meta-analysis. Respir Res. (2019) 20:144. doi: 10.1186/s12931-019-1123-x

  • 14.

    Nannini C Medina-Velasquez YF Achenbach SJ Crowson CS Ryu JH Vassallo R et al . Incidence and mortality of obstructive lung disease in rheumatoid arthritis: a population-based study. Arthritis Care Res. (2013) 65:124350. doi: 10.1002/acr.21986

  • 15.

    Reynisdottir G Olsen H Joshua V Engström M Forsslund H Karimi R et al . Signs of immune activation and local inflammation are present in the bronchial tissue of patients with untreated early rheumatoid arthritis. Ann Rheum Dis. (2016) 75:17227. doi: 10.1136/annrheumdis-2015-208216

  • 16.

    Clavel C Nogueira L Laurent L Iobagiu C Vincent C Sebbag M et al . Induction of macrophage secretion of tumor necrosis factor alpha through Fcgamma receptor IIa engagement by rheumatoid arthritis-specific autoantibodies to citrullinated proteins complexed with fibrinogen. Arthritis Rheum. (2008) 58:67888. doi: 10.1002/art.23284

  • 17.

    Khandpur R Carmona-Rivera C Vivekanandan-Giri A Gizinski A Yalavarthi S Knight JS et al . Nets are a source of citrullinated autoantigens and stimulate inflammatory responses in rheumatoid arthritis. Sci Transl Med. (2013) 5:178ra40. doi: 10.1126/scitranslmed.3005580

  • 18.

    Chang K Yang SM Kim SH Han KH Park SJ Shin JI . Smoking and rheumatoid arthritis. Int J Mol Sci. (2014) 15:2227995. doi: 10.3390/ijms151222279

  • 19.

    McGuire K Aviña-Zubieta JA Esdaile JM Sadatsafavi M Sayre EC Abrahamowicz M et al . Risk of incident chronic obstructive pulmonary disease in rheumatoid arthritis: a population-based cohort study. Arthritis Care Res. (2019) 71:60210. doi: 10.1002/acr.23410

  • 20.

    Kronzer VL Crowson CS Sparks JA Myasoedova E Davis JM 3rd. Comorbidities as risk factors for rheumatoid arthritis and their accrual after diagnosis. Mayo Clin Proc. (2019) 94:248898. doi: 10.1016/j.mayocp.2019.08.010

  • 21.

    Choi IA Park SH Cha HS Park W Kim HA Yoo DH et al . Prevalence of co-morbidities and evaluation of their monitoring in Korean patients with rheumatoid arthritis: comparison with the results of an international, cross-sectional study (COMORA). Int J Rheum Dis. (2018) 21:141422. doi: 10.1111/1756-185x.13013

  • 22.

    Kim JG Kang J Lee JH Koo HK . Association of rheumatoid arthritis with bronchial asthma and asthma-related comorbidities: a population-based national surveillance study. Front Med. (2023) 10:1006290. doi: 10.3389/fmed.2023.1006290

  • 23.

    Yang K Wang L Chen S Chen R . Longitudinal reciprocal association between rheumatoid arthritis and chronic obstructive pulmonary disease and mediation of inflammation. Rheumatology. (2024) 63:27639. doi: 10.1093/rheumatology/kead594

  • 24.

    Tilert T Dillon C Paulose-Ram R Hnizdo E Doney B . Estimating the U.S. prevalence of chronic obstructive pulmonary disease using pre- and post-bronchodilator spirometry: the National Health and Nutrition Examination Survey (NHANES) 2007–2010. Respir Res. (2013) 14:103. doi: 10.1186/1465-9921-14-103

  • 25.

    Peeters GM Alshurafa M Schaap L de Vet HC . Diagnostic accuracy of self-reported arthritis in the general adult population is acceptable. J Clin Epidemiol. (2015) 68:4529. doi: 10.1016/j.jclinepi.2014.09.019

  • 26.

    Catrina A Krishnamurthy A Rethi B . Current view on the pathogenic role of anti-citrullinated protein antibodies in rheumatoid arthritis. RMD Open. (2021) 7:e001228. doi: 10.1136/rmdopen-2020-001228

  • 27.

    Zheng B Soares de Moura C Machado M Pineau CA Curtis JR Vinet E et al . Association between chronic obstructive pulmonary disease, smoking, and interstitial lung disease onset in rheumatoid arthritis. Clin Exp Rheumatol. (2022) 40:12804. doi: 10.55563/clinexprheumatol/i9au1r

  • 28.

    Källberg H Ding B Padyukov L Bengtsson C Rönnelid J Klareskog L et al . Smoking is a major preventable risk factor for rheumatoid arthritis: estimations of risks after various exposures to cigarette smoke. Ann Rheum Dis. (2011) 70:50811. doi: 10.1136/ard.2009.120899

  • 29.

    Hutchinson D Shepstone L Moots R Lear JT Lynch MP . Heavy cigarette smoking is strongly associated with rheumatoid arthritis (RA), particularly in patients without a family history of RA. Ann Rheum Dis. (2001) 60:2237. doi: 10.1136/ard.60.3.223

  • 30.

    Albano SA Santana-Sahagun E Weisman MH . Cigarette smoking and rheumatoid arthritis. Semin Arthritis Rheum. (2001) 31:14659. doi: 10.1053/sarh.2001.27719

  • 31.

    Baka Z Buzás E Nagy G . Rheumatoid arthritis and smoking: putting the pieces together. Arthritis Res Ther. (2009) 11:238. doi: 10.1186/ar2751

  • 32.

    Caliri AW Tommasi S Besaratinia A . Relationships among smoking, oxidative stress, inflammation, macromolecular damage, and cancer. Mutat Res Rev Mutat Res. (2021) 787:108365. doi: 10.1016/j.mrrev.2021.108365

  • 33.

    Liu Y Lu L Yang H Wu X Luo X Shen J et al . Dysregulation of immunity by cigarette smoking promotes inflammation and cancer: a review. Environ Pollut. (2023) 339:122730. doi: 10.1016/j.envpol.2023.122730

  • 34.

    Saint-André V Charbit B Biton A Rouilly V Possémé C Bertrand A et al . Smoking changes adaptive immunity with persistent effects. Nature. (2024) 626:82735. doi: 10.1038/s41586-023-06968-8

  • 35.

    Schamberger AC Staab-Weijnitz CA Mise-Racek N Eickelberg O . Cigarette smoke alters primary human bronchial epithelial cell differentiation at the air-liquid interface. Sci Rep. (2015) 5:8163. doi: 10.1038/srep08163

  • 36.

    Shaykhiev R . Airway basal cells in chronic obstructive pulmonary disease: a continuum or a dead end?Am J Respir Cell Mol Biol. (2021) 65:102. doi: 10.1165/rcmb.2021-0150ED

Summary

Keywords

rheumatoid arthritis, chronic obstructive pulmonary disease, National Health and Nutrition Examination Survey, cross-sectional study, association analysis

Citation

Mi P, Wang H, Fan G, Chen S, Chen X, Cao X and Feng H (2025) Rheumatoid arthritis and chronic obstructive pulmonary disease in US adults: a cross-sectional analysis. Front. Med. 12:1577180. doi: 10.3389/fmed.2025.1577180

Received

15 February 2025

Accepted

06 May 2025

Published

23 May 2025

Volume

12 - 2025

Edited by

M. Faizan Siddiqui, Osh State University, Kyrgyzstan

Reviewed by

Vincent Laiman, Gadjah Mada University, Indonesia

Noof K. Binashikhbubkr, Almoosa Specialist Hospital, Saudi Arabia

Laurentia Fidella Averina Setia Santoso, Padjadjaran University, Indonesia

Updates

Copyright

*Correspondence: Haixia Feng,

†These authors have contributed equally to this work

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Outline

Figures

Cite article

Copy to clipboard


Export citation file


Share article

Article metrics