Literature DB >> 35197361

Passive smoking in childhood and adulthood and risk of rheumatoid arthritis in women: results from the French E3N cohort study.

Marie-Christine Boutron-Ruault1,2, Raphaele Seror3,4, Yann Nguyen5,6, Carine Salliot5,7, Amandine Gelot5, Xavier Mariette3,4.   

Abstract

OBJECTIVE: The association between passive smoking exposure in childhood or in adulthood, and the risk of rheumatoid arthritis (RA) has been incompletely investigated. We aimed to assess the relationship between exposure to passive smoking and the risk of incident RA in a French prospective cohort of healthy women.
METHODS: The E3N Study (Etude Epidémiologique auprès des femmes de la Mutuelle générale de l'Education Nationale) is a French prospective cohort of women included in 1990. Exposures to passive smoking were assessed using self-reported questionnaires. RA cases were self-reported and subsequently validated. Cox proportional hazards regression models adjusted for age and for potential confounders were used to estimate HRs and 95% CIs for incident RA.
RESULTS: Among 79 806 women, 698 incident cases of RA were identified; 10 810 (13.5%) women were exposed to passive smoking in childhood, and 42 807 (53.6%) in adulthood. Median age at inclusion was 47.8 years. Passive smoking in childhood and in adulthood was associated with RA risk in all models (HRs (95% CIs) 1.24 (1.01 to 1.51) and 1.19 (1.02 to 1.40), respectively). The absolute risk of RA among never smokers with exposure to passive smoking in childhood and/or adulthood (47.6/100 000 person-years) was close to the risk of ever smokers with no passive smoking exposure (47.2/100 000 person-years), while it was highest in ever smokers also exposed to passive smoking (53.7/100 000 person-years).
CONCLUSION: Exposure to passive smoking in childhood and/or adulthood increases the risk of RA by the same order than active smoking. Such exposure should be suppressed, especially in individuals at risk of RA. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  autoantibodies; autoimmunity; epidemiology; rheumatoid arthritis; smoking

Mesh:

Substances:

Year:  2022        PMID: 35197361      PMCID: PMC8867331          DOI: 10.1136/rmdopen-2021-001980

Source DB:  PubMed          Journal:  RMD Open        ISSN: 2056-5933


To date, only a few studies assessed the association between passive smoking and the risk of rheumatoid arthritis (RA), and results are conflicting. In this prospective cohort of almost 80 000 women, passive smoking exposure during childhood and/or adulthood was associated with an increased risk of RA, especially in never smokers. Passive smoking in childhood is particularly associated with the risk of RA, which may occur earlier than in women never exposed to smoking. Our results support the hypothesis that passive smoking is associated with the risk of RA. Exposure to passive smoking, especially during childhood, should be limited as much as possible, especially in individuals at high risk of RA.

Introduction

Rheumatoid arthritis (RA) is an inflammatory rheumatic disease of complex pathogenesis. Genetic and environmental factors are thought to interact to trigger autoimmunity leading to the disease.1 Personal active smoking has been the most reproducibly reported risk factor for RA, particularly in patients carrying the HLA-DRB1-shared epitope (SE) alleles.2–5 While secondhand smoking could increase disease activity in women with RA,6 only a few studies assessed the association between passive smoking (PS) and the risk of RA, and results are conflicting. In adulthood, PS exposure at work or at home was not associated with RA in two case–control studies and one cohort study.7–9 In a previous work in the E3N cohort of French women, we identified for the first time that, compared with never smokers not exposed to PS in childhood, ever-smoking women exposed to PS in childhood had an increased risk of RA.10 In this preliminary work, we could not identify PS as a risk factor independent of active smoking, possibly because of underpowered analysis. Indeed, at the time of the study, only part of RA cases were identified, that is, only 371 incident RA cases.10 Thus, now that more RA cases have been identified,11 the objectives of this prospective study were to investigate the relationship between PS in childhood and/or adulthood, and the risk of incident RA in a large prospective cohort of healthy French women.

Material and methods

Study population

The French E3N Study (Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale) is a prospective cohort, initially conceived to study environmental risk factors for cancers and chronic diseases. It includes 98 995 healthy French women, primarily teachers, since 1990 covered by a national health insurance. Follow-up is still ongoing.12 They were sent every 2–3 years questionnaires (Q1–Q12) with questions on their health, lifestyle and newly diagnosed diseases. The average response rate per questionnaire is 83%, and less than 3% of the participants were lost to follow-up since 1990. Signed consent was obtained from all participants.

RA ascertainment

Identification of RA cases has been previously described.11 Briefly, participants who self-reported having RA in the follow-up questionnaires were sent a validation questionnaire adapted from Guillemin et al13 in 2017. Women were considered as cases if they confirmed having RA in this validation questionnaire and if any of the following criteria were fulfilled: (1) RA was confirmed by a physician, (2) they self-reported taking any disease-modifying antirheumatic drugs (DMARDs) considered specific of RA, (3) they self-reported having positive auto-antibodies (rheumatoid factors and/or anti-citrullinated protein antibodies), (4) at least four of the seven 1987-American College of Rheumatology (ACR) criteria were met. Sensitivity and specificity of this algorithm were 93.8% and 82.6%, respectively. For women who did not answer the specific validation questionnaire, we used the medication reimbursement database and women were considered as cases if they had had reimbursements of any DMARDs considered to be specific of RA. Sensitivity and specificity of this method were 70.5% and 87.3%, respectively. For the present study, only incident cases, diagnosed after 1990, were considered and we excluded women who did not complete any of the three questionnaires (Q9, Q10 and Q11) collecting self-reported diagnosis of RA, prevalent RA cases occurring before baseline and RA cases with unavailable date of diagnosis.

Variables of interest

At inclusion, women had to answer the following question: ‘When you were a child, did you stay in a smoky room?’. Answer modalities were ‘never’, ‘do not remember’, ‘rarely’, ‘occasionally (a few hours a week)’, ‘a few hours a day’ or ‘several hours a day’. Women were considered exposed to PS in childhood if the answers were ‘a few hours a day’ or ‘several hours a day’. PS exposure in adulthood was assessed at inclusion by asking the women to sum their time spent at home or outside the home during the day in a room while someone was smoking. This time was expressed in hours: ‘0’, ‘<1 hour’ or the number of hours. They were considered exposed if they were exposed at least 1 hour a day. Education (

Statistical analyses

Follow-up began on the date the first questionnaire was returned in 1990 (baseline), and women contributed person-time until the date of RA diagnosis, the last completed questionnaire until the 2017 questionnaire (Q11), death or loss to follow-up, whichever occurred first. In descriptive analyses, results were expressed as count (%) for categorical variables and median (IQR) for continuous variables. To estimate the risk of RA associated with PS (HR and their 95% CIs), we used Cox multivariable regression models with age as the timescale (model 1), and adjusted on baseline smoking status (never, current or former smoker), the other types of PS, educational level ( We also performed a sensitivity analysis on seropositive incident RA cases only, by excluding seronegative cases, or with unknown seropositivity status. Models 1 and 2 were fitted on this population. Finally, we compared mean ages at RA onset according to PS exposure in childhood and/or in adulthood and according to personal smoking (ever or never smokers) with analyses of variance. All statistical analyses were carried out using SAS software, V.9.3 (SAS Institute). All p values were two tailed and considered significant if p<0.05.

Patient and public involvement

Patients and the public were not directly involved in the design or completion of this study.

Results

Characteristics of the study population

Among the 98 995 women of the cohort, the study population included 79 806 women during a total of 1 897 583 person-years of follow-up, including 698 incident RA cases (figure 1). Median (IQR) follow-up was 24.47 (24.33–24.54) years, and median age at cohort entry was 47.9 (43.5–53.5) years. Incident RA cases were diagnosed after a median of 14.9 (8.6–19.2) years after baseline and median age at RA diagnosis was 63.4 (57.7–70.3) years. Antibody status was known for 230 (33.0%) incident cases and 210 (91%) of them were seropositive.
Figure 1

Flow chart of the study among women in the E3N cohort. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale; RA, rheumatoid arthritis.

Flow chart of the study among women in the E3N cohort. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale; RA, rheumatoid arthritis. Characteristics of the overall study population according to PS in childhood and in adulthood are presented in table 1. In the whole study population, 10 810 (13.5%) women were exposed to PS in childhood, 42 807 (53.6%) to PS in adulthood, 6581 (8.25%) were exposed to both and 47 036 (58.9%) were exposed to either. Regarding active smoking, 36 636 (45.91%) had ever smoked (14.19% current and 31.71% former smokers). Compared with never smokers, current, former and ever smokers had similar increased risk of RA: HRs (95% CIs) 1.30 (1.04 to 1.63); 1.21 (1.13 to 1.42); 1.23 (1.06 to 1.43), respectively.
Table 1

Baseline characteristics of the study population of the E3N cohort (N=79 806)

All (N=79 806)Passive smoking in childhoodPassive smoking in adulthood
No (N=68 996)Yes (N=10 810)No (N=36 999)Yes (N=42 807)
Age at baseline (years)47.8 (43.6–53.5)47.9 (43.5–53.6)47.4 (43.2–53.0)49.3 (44.1–55.3)46.9 (43.1–52.0)
Body mass index (kg/m²)
 <18.5 kg/m²1738 (2.2)1523 (2.2)215 (2.0)745 (2.0)993 (2.3)
 18.5–25 kg/m²65 255 (81.8)56 506 (81.9)8749 (80.9)30 332 (82.0)34 923 (81.6)
 25–30 kg/m²10 737 (13.5)9203 (13.3)1534 (14.2)5047 (13.6)5690 (13.3)
 ≥30 kg/m²2076 (2.5)1764 (2.6)312 (2.9)875 (2.4)1201 (2.8)
Educational level
 <High school12 025 (15.1)10 195 (14.7)1830 (16.9)5952 (16.1)6073 (14.1)
 Up to 2-level university40 306 (50.5)34 743 (50.4)5563 (51.5)20 549 (55.5)19 757 (46.2)
 3/4-level university27 475 (34.4)24 058 (34.9)3417 (31.6)10 498 (28.4)16 977 (39.7)
Smoking status
 Current smoker11 328 (14.2)9734 (14.1)1594 (14.7)2269 (6.1)9059 (21.2)
 Non-smoker43 170 (54.1)37 917 (55.0)5253 (48.6)23 322 (63.1)19 848 (46.4)
 Former smoker25 308 (31.7)21 345 (30.9)3963 (36.7)11 408 (30.8)13 900 (32.4)
Diabetes mellitus575 (0.7)487 (0.7)88 (0.8)286 (0.8)289 (0.7)

Baseline was the date of the first questionnaire (1990). Results are expressed as N (%) for categorical variables and median (IQR) for continuous variables. No missing data.

E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale.

Baseline characteristics of the study population of the E3N cohort (N=79 806) Baseline was the date of the first questionnaire (1990). Results are expressed as N (%) for categorical variables and median (IQR) for continuous variables. No missing data. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale.

PS in childhood and risk of RA

In the whole population, PS in childhood was positively associated with the risk of RA in all models, including adjustment on PS in adulthood (HR 1.24; 95% CI 1.01 to 1.51 in model 2) (table 2). When stratifying on active smoking status, PS in childhood was associated with RA only in never-smoking women (HR 1.40; 95% CI 1.06 to 1.86). However, the interaction term was not statistically significant (p=0.28). In the whole population, compared with never smokers with no passive smoking in childhood, RA risk of never smokers exposed to PS in childhood was increased (HR 1.38; 95% CI 1.04 to 1.83), and of the same magnitude as the risk of ever smokers with exposure to PS in childhood (HR 1.37; 95% CI 1.03 to 1.82).
Table 2

HRs (95% CIs) for incident rheumatoid arthritis according to passive smoking in childhood, overall and after stratified by ever-smoking status among women in the E3N cohort (N=79 806)

Cases, no/person-years, noModel 1HR (95% CI)Model 2HR (95% CI)
All population (N=79 806)
 Passive smoking in childhood
  No584/1 640 298ReferenceReference
  Yes114/257 2841.26 (1.03 to 1.54)1.24 (1.01 to 1.51)
  P value0.0230.037
Never smokers (N=43 170)
 Passive smoking in childhood
  No293/900 764ReferenceReference
  Yes57/124 9981.42 (1.07 to 1.88)1.40 (1.06 to 1.86)
  P value0.0160.019
Ever smokers (N=36 636)
 Passive smoking in childhood
  No291/739 535ReferenceReference
  Yes57/132 2861.11 (0.83 to 1.47)1.10 (0.83 to 1.46)
  P value0.480.50
All population (N=79 806)
 Never smoker, no passive smoking in childhood293/900 764ReferenceReference
 Never smoker, passive smoking in childhood57/124 9981.41 (1.06 to 1.88)1.38 (1.04 to 1.83)
 Ever smoker, no passive smoking in childhood291/739 5351.27 (1.08 to 1.50)1.26 (1.07 to 1.49)
 Ever smoker, passive smoking in childhood57/132 2861.41 (1.06 to 1.87)1.37 (1.03 to 1.82)

Model 1: adjusted for age (as the timescale).

Model 2: adjusted for age (as the timescale), active smoking status (current smoker, non-smoker, former smoker, except for stratified analyses and combined analysis), passive smoking in adulthood, body mass index (kg/m²) (<18.5 kg/m², 18.5–25 kg/m², 25–30 kg/m², ≥30 kg/m²), and educational level (

P for interaction between smoking status and passive smoking during childhood=0.28.

E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale.

HRs (95% CIs) for incident rheumatoid arthritis according to passive smoking in childhood, overall and after stratified by ever-smoking status among women in the E3N cohort (N=79 806) Model 1: adjusted for age (as the timescale). Model 2: adjusted for age (as the timescale), active smoking status (current smoker, non-smoker, former smoker, except for stratified analyses and combined analysis), passive smoking in adulthood, body mass index (kg/m²) (<18.5 kg/m², 18.5–25 kg/m², 25–30 kg/m², ≥30 kg/m²), and educational level ( P for interaction between smoking status and passive smoking during childhood=0.28. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale. When restricting our analyses to the 210 seropositive incident cases, PS in childhood was still associated with the risk of seropositive RA (HR 1.55; 95% CI 1.10 to 2.18 in model 2), especially in never smokers (HR 1.67; 95% CI 1.03 to 2.71 in model 2), but not in ever smokers (table 3).
Table 3

HRs (95% CIs) for incident seropositive rheumatoid arthritis (RA) according to passive smoking in childhood, overall and after stratified by ever-smoking status among women in the E3N cohort (N=79 318)

Seropositive RA cases, no/person-years, noModel 1HR (95% CI)Model 2HR (95% CI)
All population (N=79 318)N=210
 Passive smoking in childhood
  No169/1 634 324ReferenceReference
  Yes41/256 22631.55 (1.10 to 2.18)1.55 (1.10 to 2.18)
  P value0.0120.012
Never smokers (N=42 927)N=107
 Passive smoking in adulthood
  No87/897 762ReferenceReference
  Yes20/124 4301.66 (1.02 to 2.70)1.67 (1.03 to 2.71)
  P value0.0410.039
Ever smokers (N=36 391)N=103
 Passive smoking in adulthood
  No82/736 562ReferenceReference
  Yes21/131 8341.44 (0.89 to 2.32)1.44 (0.89 to 2.32)
  P value0.140.13
All population (N=79 318)N=210
 Never smoker, no passive smoking in childhood87/897 762ReferenceReference
 Never smoker, passive smoking in childhood20/124 4301.66 (1.02 to 2.70)1.68 (1.03 to 2.73)
 Ever smoker, no passive smoking in childhood82/736 5621.15 (0.85 to 1.56)1.15 (0.85 to 1.57)
 Ever smoker, passive smoking in childhood21/131 8341.66 (1.03 to 2.67)1.66 (1.03 to 2.69)

Model 1: adjusted for age (as the timescale).

Model 2: adjusted for age (as the timescale), active smoking status (current smoker, non-smoker, former smoker, except for stratified analyses and combined analysis), passive smoking in adulthood, body mass index (kg/m²) (<18.5 kg/m², 18.5–25 kg/m², 25–30 kg/m², ≥30 kg/m²), and educational level (

E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale.

HRs (95% CIs) for incident seropositive rheumatoid arthritis (RA) according to passive smoking in childhood, overall and after stratified by ever-smoking status among women in the E3N cohort (N=79 318) Model 1: adjusted for age (as the timescale). Model 2: adjusted for age (as the timescale), active smoking status (current smoker, non-smoker, former smoker, except for stratified analyses and combined analysis), passive smoking in adulthood, body mass index (kg/m²) (<18.5 kg/m², 18.5–25 kg/m², 25–30 kg/m², ≥30 kg/m²), and educational level ( E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale.

PS in adulthood and risk of RA

PS in adulthood was also associated with the risk of RA in all models, including adjustment on PS in childhood (HR 1.19; 95% CI 1.02 to 1.40 in model 2) (table 4).
Table 4

HRs (95% CIs) for incident rheumatoid arthritis according to passive smoking in adulthood, overall and after stratified by ever-smoking status among women in the E3N cohort (N=79 806)

Cases, no/person-years, noModel 1HR (95% CI)Model 2HR (95% CI)
All population (N=79 806)
 Passive smoking in adulthood
  No297/878 178ReferenceReference
  Yes401/1 019 4051.24 (1.07 to 1.44)1.19 (1.02 to 1.40)
  P value0.0050.025
Never smokers (N=43 170)
 Passive smoking in adulthood
  No175/553 281ReferenceReference
  Yes175/472 4811.26 (1.02 to 1.56)1.27 (1.02 to 1.57)
  P value0.0320.029
Ever smokers (N=36 636)
 Passive smoking in adulthood
  No122/324 897ReferenceReference
  Yes226/546 9231.15 (0.92 to 1.43)1.16 (0.93 to 1.44)
  P value0.220.20
All population (N=79 806)
 Never smoker, no passive smoking in adulthood175/553 281ReferenceReference
 Never smoker, passive smoking in adulthood175/472 4811.25 (1.01 to 1.54)1.24 (1.00 to 1.53)
 Ever smoker, no passive smoking in adulthood122/324 8971.24 (0.99 to 1.57)1.26 (1.00 to 1.59)
 Ever smoker, passive smoking in adulthood226/546 9231.45 (1.18 to 1.76)1.46 (1.20 to 1.79)

Model 1: adjusted for age (as the timescale).

Model 2: adjusted for age (as the timescale), active smoking status (current smoker, non-smoker, former smoker, except for stratified and combined analyses), passive smoking in childhood, body mass index (kg/m²) (<18.5 kg/m², 18.5–25 kg/m², 25–30 kg/m², ≥30 kg/m²), and educational level (

P for interaction between smoking status and passive smoking during adulthood=0.40.

E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale.

HRs (95% CIs) for incident rheumatoid arthritis according to passive smoking in adulthood, overall and after stratified by ever-smoking status among women in the E3N cohort (N=79 806) Model 1: adjusted for age (as the timescale). Model 2: adjusted for age (as the timescale), active smoking status (current smoker, non-smoker, former smoker, except for stratified and combined analyses), passive smoking in childhood, body mass index (kg/m²) (<18.5 kg/m², 18.5–25 kg/m², 25–30 kg/m², ≥30 kg/m²), and educational level ( P for interaction between smoking status and passive smoking during adulthood=0.40. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale. There was also no interaction between PS in adulthood and smoking. In analyses stratified on active smoking status, PS in adulthood was associated with an increased RA risk only in never-smoking women (HR 1.27; 95% CI 1.02 to 1.57). In the whole population, in model 2, compared with never smokers with no PS in adulthood, RA risk of never smokers exposed to PS in adulthood was increased (HR 1.24; 95% CI 1.00 to 1.53) and was of the same magnitude as the risk of ever smokers without exposure to PS in adulthood (HR 1.26; 95% CI 1.00 to 1.59). The risk of RA was the highest if women were both ever smokers and exposed to PS in adulthood (HR 1.46; 95% CI 1.20 to 1.79). In the sensitivity analyses, the association between PS in adulthood and incident seropositive RA was no longer found (online supplemental table 1).

PS in childhood and/or adulthood and risk of RA

In the whole population, compared with women never exposed to smoking—actively or passively (childhood and/or adulthood)—, women exposed to PS (in childhood and/or adulthood), whatever the active smoking status, were at increased risk of RA (figure 2). The absolute risk of RA was lowest in those never exposed to smoking—actively or passively—(35.8/100 000 person-years), while it was highest in ever smokers also exposed to PS (53.7/100 000 person-years). The absolute risk of RA in never-smoking women exposed to PS (47.6/100 000 person-years) was very close to the risk of ever smokers not exposed to PS (47.2/100 000 person-years).
Figure 2

Risk of incident RA and age at RA onset according to smoking status and exposure to passive smoking (PS) during childhood and/or during adulthood among women in the E3N cohort. Results are expressed as HRs with bars representing 95% CIs. This model was adjusted on age (as the timescale), body mass index and educational level, and used to calculate absolute risks of RA associated with smoking status and exposure to PS in childhood and/or in adulthood. This model was used to calculate absolute risks of RA associated with combinations of active smoking status and PS in childhood and/or adulthood. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale; PY: person-years; RA, rheumatoid arthritis.

Risk of incident RA and age at RA onset according to smoking status and exposure to passive smoking (PS) during childhood and/or during adulthood among women in the E3N cohort. Results are expressed as HRs with bars representing 95% CIs. This model was adjusted on age (as the timescale), body mass index and educational level, and used to calculate absolute risks of RA associated with smoking status and exposure to PS in childhood and/or in adulthood. This model was used to calculate absolute risks of RA associated with combinations of active smoking status and PS in childhood and/or adulthood. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale; PY: person-years; RA, rheumatoid arthritis.

PS and age at RA onset

Age at RA onset was highest among women never exposed to smoking—actively or passively (childhood and/or adulthood) (66.55±9.30 years), while it was lowest among ever-smoking women exposed to PS in childhood whatever PS exposure in adulthood exposure (60.7±9.19 years if also exposed during adulthood, and 60.3±8.83 if not) (table 5). Age at RA onset was in between, and similar among never smokers exposed to PS and ever smokers not exposed to PS.
Table 5

Age at RA onset according to smoking status among women in the E3N cohort (N=79 806)

Smoking statusRA, NAge at RA, yearsP value
According to passive smoking in childhood0.0015
 Never smoker, no passive smoking in childhood29365.1 (9.3)
 Never smoker, passive smoking in childhood5764.2 (8.9)
 Ever smoker, no passive smoking in childhood29163.0 (8.6)
 Ever smoker, passive smoking in childhood5760.6 (9.0)
According to passive smoking in adulthood0.0002
 Never smoker, no passive smoking in adulthood17566.3 (9.0)
 Never smoker, passive smoking in adulthood17563.5 (9.2)
 Ever smoker, no passive smoking in adulthood12263.0 (10.0)
 Ever smoker, passive smoking in adulthood22662.4 (7.9)
According to passive smoking in childhood and/or adulthood0.001
 Never smoker, no passive smoking in childhood, no passive smoking in adulthood14966.5 (9.3)
 Never smoker, no passive smoking in childhood, passive smoking in adulthood14463.5 (9.0)
 Never smoker, passive smoking in childhood, no passive smoking in adulthood2664.6 (7.3)
 Never smoker, passive smoking in childhood, passive smoking in adulthood3163.7 (10.2)
 Ever smoker, no passive smoking in childhood, no passive smoking in adulthood10763.4 (10.1)
 Ever smoker, no passive smoking in childhood, passive smoking in adulthood18462.8 (7.5)
 Ever smoker, passive smoking in childhood, no passive smoking in adulthood1560.3 (8.8)
 Ever smoker, passive smoking in childhood, passive smoking in adulthood4260.7 (9.2)
According to passive smoking in childhood and/or adulthood<0.001
 Never smoker, no passive smoking in childhood and/or in adulthood14966.5 (9.3)
 Never smoker, passive smoking in childhood and/or in adulthood20163.7 (9.0)
 Ever smoker, no passive smoking in childhood and/or passive smoking in adulthood10763.4 (9.0)
 Ever smoker, passive smoking in childhood and/or passive smoking in adulthood3162.3 (8.0)

Results are expressed as N for categorical variables and mean (SD) for continuous variables.

E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale; RA, rheumatoid arthritis.

Age at RA onset according to smoking status among women in the E3N cohort (N=79 806) Results are expressed as N for categorical variables and mean (SD) for continuous variables. E3N, Etude Epidémiologique auprès des femmes de la Mutuelle générale de l’Education Nationale; RA, rheumatoid arthritis.

Discussion

In this large, population-based prospective cohort study of French women, we reported that PS exposure during childhood and/or adulthood was associated with an increased risk of RA, especially in never-active smokers. This risk was similar to the one of ever-active smokers without exposure to PS especially during adulthood. Interestingly, the size effects related to PS exposure in childhood and in adulthood (HRs 1.26 and 1.24, respectively) were similar to the one of patients who smoked between 1 and 10 pack-years according to a meta-analysis (HR 1.26; 95% CI 1.14 to 1.39 compared with never smokers).14 In addition, we found an even stronger association between PS in childhood and seropositive RA, especially among never smokers, and that RA exposed to PS in childhood was diagnosed earlier than RA never exposed to smoking. Among ever smokers, we failed to find any association between PS exposure in childhood or in adulthood with the risk of RA. Untangling the proper effect of secondhand smoke from primary smoke exposure would require larger populations with different levels of primary smoke exposure. Our findings reinforce existing hypotheses and understanding of RA pathogenesis, and add to the mucosal paradigm of RA pathogenesis. It is well established that smoking favours citrullination and, in genetically predisposed people, immunisation to citrulline can occur years before the first symptoms of the disease.3 5 The fact that exposure to smoking at the very beginning of life could be associated with RA suggests that autoimmunity could be triggered even earlier and many years before the onset of the symptoms. Previous attempts have been made to assess the association between PS exposure and RA. In the Nurses’ Health Study I prospective cohort, there was no association between PS exposure although PS exposure was assessed by the number of years lived with a smoker.7 However, long exposure to PS (≥30 years of exposure) was marginally associated with incident RA both in ever and never smokers, suggesting a potential link. More recently, the association of life course PS and the risk of incident RA has been reported in the Nurses’ Health Study II cohort.15 Childhood exposure measured by childhood parental smoking was associated with a 41% increased risk of seropositive RA after adjustment for potential confounders, and a 75% increased risk after further adjustment for adulthood active and passive smoking. The association was even stronger among ever smokers, while there was no association in never smokers. These results are consistent with ours, even though, we mainly observed an increased RA risk associated with PS exposure in childhood in never smokers. In a Swedish population-based case–control study including 589 cases and 1769 controls, there was no association between exposure to PS (at home or at work) and the risk of RA.8 However, the authors did not separately consider PS exposure in childhood and in adulthood, and the retrospective design of the study might be prone to differential recall bias. We acknowledge some limitations to our study. First, our cohort only studied women. However, incidence of RA being higher in women, our study population was appropriate to test our hypothesis. In addition, identification of RA cases was based on self-reported data. However, the accuracy of our case identification was improved by our algorithms. Antibody status was known in only 230 (33%) RA cases, and 210 of them (91%) were seropositive, which further validates our algorithm for the diagnosis of RA. The low rate of antibody status is due to the self-reported design of the questionnaire, and the difficulties for patients to report their serological status. However, even with a reduced power, we still found an even stronger association between PS in childhood and seropositive RA, reinforcing our hypothesis. We acknowledge that exposure to PS was assessed only at a single time at baseline and we did not have quantitative data on cumulative personal active smoking and pack-years. In addition, exposure to PS in childhood was retrospectively collected, which might be prone to recall bias. However, because this question was asked years before the onset of RA, this bias should not be differential. Although we adjusted our analyses on several potential confounders, we did not adjust for other factors such as diet, lifestyle or air pollution, as data were either not available or available only in a fraction of the cohort. However, our study was mostly focused on investigating associations with childhood PS, which was unlikely to be strongly confounded by adult dietary or lifestyle behaviours. However, this could have potentially had an impact on our assessment of associations with adult PS. We were not able to investigate a potential gene–environment interaction, lacking data on the HLA-DRB1-SE and on family history. Finally, we could not perform analyses on RA severity, including radiological changes and clinical severity, and because we excluded prevalent cases occurring before baseline, our results might not apply to early life RA occurring before the inclusion, leading to a higher median age of RA onset. Nevertheless, the strengths of our study include the large cohort size and the high number of RA, during a long follow-up period. In addition, we stratified our analyses on personal smoking exposure and were able to study the effect of PS on never-smoking women. To conclude, PS during childhood and/or adulthood was associated with an increased risk of RA, especially among never-smoking women. Such exposure should be limited as much as possible to prevent the onset of the disease. Even if our study was not designed to investigate this point, this message could especially apply to individuals at risk of RA, for example, relatives 0f patients with RA.
  15 in total

1.  Smoking intensity, duration, and cessation, and the risk of rheumatoid arthritis in women.

Authors:  Karen H Costenbader; Diane Feskanich; Lisa A Mandl; Elizabeth W Karlson
Journal:  Am J Med       Date:  2006-06       Impact factor: 4.965

Review 2.  Genes, environment and immunity in the development of rheumatoid arthritis.

Authors:  Lars Klareskog; Leonid Padyukov; Johan Rönnelid; Lars Alfredsson
Journal:  Curr Opin Immunol       Date:  2006-09-28       Impact factor: 7.486

3.  Investigating Asthma, Allergic Disease, Passive Smoke Exposure, and Risk of Rheumatoid Arthritis.

Authors:  Vanessa L Kronzer; Cynthia S Crowson; Jeffrey A Sparks; Robert Vassallo; John M Davis
Journal:  Arthritis Rheumatol       Date:  2019-07-01       Impact factor: 10.995

4.  Smoking is a risk factor for anti-CCP antibodies only in rheumatoid arthritis patients who carry HLA-DRB1 shared epitope alleles.

Authors:  S P Linn-Rasker; A H M van der Helm-van Mil; F A van Gaalen; M Kloppenburg; R R P de Vries; S le Cessie; F C Breedveld; R E M Toes; T W J Huizinga
Journal:  Ann Rheum Dis       Date:  2005-07-13       Impact factor: 19.103

5.  Passive smoking in childhood increases the risk of developing rheumatoid arthritis.

Authors:  Raphaèle Seror; Julien Henry; Gaelle Gusto; Henri-Jean Aubin; Marie-Christine Boutron-Ruault; Xavier Mariette
Journal:  Rheumatology (Oxford)       Date:  2019-07-01       Impact factor: 7.580

6.  Passive Smoking Throughout the Life Course and the Risk of Incident Rheumatoid Arthritis in Adulthood Among Women.

Authors:  Kazuki Yoshida; Jiaqi Wang; Susan Malspeis; Nathalie Marchand; Bing Lu; Lauren C Prisco; Lily W Martin; Julia A Ford; Karen H Costenbader; Elizabeth W Karlson; Jeffrey A Sparks
Journal:  Arthritis Rheumatol       Date:  2021-10-19       Impact factor: 10.995

7.  Improving accuracy of self-reported diagnoses of rheumatoid arthritis in the French prospective E3N-EPIC cohort: a validation study.

Authors:  Yann Nguyen; Carine Salliot; Gaëlle Gusto; Elise Descamps; Xavier Mariette; Marie-Christine Boutron-Ruault; Raphaèle Seror
Journal:  BMJ Open       Date:  2019-12-16       Impact factor: 2.692

8.  Gene-environment interaction between HLA-DRB1 shared epitope and heavy cigarette smoking in predicting incident rheumatoid arthritis.

Authors:  E W Karlson; S-C Chang; J Cui; L B Chibnik; P A Fraser; I De Vivo; K H Costenbader
Journal:  Ann Rheum Dis       Date:  2010-01       Impact factor: 19.103

9.  Cigarette smoking and risk of rheumatoid arthritis: a dose-response meta-analysis.

Authors:  Daniela Di Giuseppe; Andrea Discacciati; Nicola Orsini; Alicja Wolk
Journal:  Arthritis Res Ther       Date:  2014-03-05       Impact factor: 5.156

10.  Smoking and susceptibility to rheumatoid arthritis in a Swedish population-based case-control study.

Authors:  Anna Karin Hedström; Leszek Stawiarz; Lars Klareskog; Lars Alfredsson
Journal:  Eur J Epidemiol       Date:  2018-01-31       Impact factor: 8.082

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  1 in total

Review 1.  A Roadmap for Investigating Preclinical Autoimmunity Using Patient-Oriented and Epidemiologic Study Designs: Example of Rheumatoid Arthritis.

Authors:  Emily N Kowalski; Grace Qian; Kathleen M M Vanni; Jeffrey A Sparks
Journal:  Front Immunol       Date:  2022-05-25       Impact factor: 8.786

  1 in total

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