Abstract
Background:
Growing evidence suggests psychosocial stressors may increase risk of developing autoimmune disease. We examined stressful life events and caregiving in relation to incident Rheumatoid Arthritis (RA) and Systemic Lupus Erythematosus (SLE) in the Women’s Health Initiative Observational Study cohort.
Methods:
The sample of post-menopausal women included 211 incident RA or SLE cases reported within 3 years after enrollment, confirmed by use of disease modifying anti-rheumatic drugs (i.e., Probable RA/SLE), and 76,648 non-cases. Baseline questionnaires asked about life events in the past year, caregiving, and social support. We used Cox regression models to calculate Hazard Ratios (HR) and 95% Confidence Intervals (CI), adjusting for age, race/ethnicity, occupational class, education, pack-years smoking and BMI.
Results:
Incident RA/SLE was associated with having 3 or more life events (e.g., age-adjusted HR 1.70; 95%CI 1.14, 2.53; ptrend=0.0026). Elevated HRs were noted for physical (2.48; 1.02, 6.04) and verbal (1.34; 0.89, 2.02) abuse (ptrend=0.0614), 2 or more interpersonal events (1.23, 95%CI 0.87, 1.73; ptrend=0.2403), financial stress (1.22; 95%CI 0.90, 1.64), and caregiving 3 or more days per week (1.25; 95%CI 0.87, 1.81; ptrend=0.2571). Results were similar excluding women with baseline symptoms of depression or moderate to severe joint pain in the absence of diagnosed arthritis.
Discussion:
Our findings support the idea that diverse stressors may increase risk of developing probable RA or SLE in post-menopausal women, supporting the need for further studies in autoimmune rheumatic diseases including childhood adverse events, life event trajectories, and modifying psychosocial and socioeconomic factors.
INTRODUCTION
Autoimmune rheumatic diseases, including the two most common systemic autoimmune diseases, rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE), affect as many as 1.6 million adults in the U.S. (1). Sometimes co-occurring, RA and SLE share risk factors including female sex and family history of RA or SLE, while RA is increased in older women and SLE predominately affects reproductive age women (2–5). Characterized by complex etiologies involving environmental and genetic factors (6–8), only a few modifiable risk factors have been identified besides smoking.
A broad literature supports the idea that stress may play a role in worsening RA and SLE symptoms and outcomes, and growing evidence suggests stress may trigger a variety of autoimmune diseases (9, 10). Recent studies show that history of trauma or post-traumatic stress disorder is associated with risk of developing RA or SLE (11–18). Given the known effects of stress on the immune system, such as immunosuppression and inflammation (19–21), these findings support a broader hypothesis that other stressors may increase risk of RA/SLE. Stressful life events can include acute experiences such as death of a partner or a serious accident, abuse, interpersonal conflicts such as marital separation, or financial stress, with some experiences reflecting traumatic stressors, patterns of longer-term experiences and chronic stress, or compounding trajectories of stressors across the lifespan (22). Research on stressful life events and RA/SLE is limited; one large case-control study in Sweden reported stressful life events in the 5 years prior to diagnosis were associated with an increased odds of developing RA (23), while a smaller study of SLE in southern Sweden showed no associations with life events in the past year (24).
Individuals experience external stressors within a broad socioeconomic and psychological, and social context. The Reserve Capacity model posits that lower socioeconomic status (SES) modifies the impact of stressors, undermining tangible, interpersonal and intrapersonal resources for coping, such as social support, amplifying over time the potential for adverse effects on health (25, 26). Past research in the Women’s Health Initiative (WHI) found that having more negative life events was related to lower education, non-white race, lower social support, and adverse health behaviors (e.g., smoking, BMI)(27, 28). While the latter may have direct physiological impacts, the others may reflect differential reserve and resources, which may modify the impact of life events on health, including autoimmunity, inflammation, and disease (Figure 1). Race/ethnicity and age may further contextualize this relationship. In the WHI Extension Study (mean age 77 years), younger women and those of Black or African American (versus White) race/ethnicity reported higher resiliency (29).
Figure 1.
Life-course and recent stressors, reserve capacity, and pathways contributing to the development of autoimmune disease
In the WHI Observational Study (OS) cohort, we previously noted associations of SES-related covariates with risk of RA (i.e., non-professional occupation) and SLE (i.e., lower education)(30). Here we investigated whether risk of RA/SLE in the first three years of follow-up was associated with recent life events and caregiving, another potential stressor associated with depressive symptoms in the WHI (31). We hypothesized that having more stressful life events and caregiving might contribute to risk of developing RA or SLE. We also examined specific types of life events and in secondary analyses explored potential differences in associations with RA/SLE by age and indicators of Reserve Capacity (occupational class, social support).
MATERIALS AND METHODS
Study sample
The WHI-OS cohort includes 93,676 women (enrolled 1994–98) from 40 clinical centers across the United States (32). At baseline and year 3 of follow-up, women were asked if a doctor ever told them they had systemic lupus erythematosus (SLE), or arthritis, and if so, what type, i.e., rheumatoid arthritis (not rheumatism) or other/don’t know. For the current study, eligible participants were those with complete data on RA/SLE status [exclude missing, N=2,429 (2.6%)], medication use [exclude missing, N=13,871 (14.8%)], the life events scale and major covariates [exclude missing, N=842 (0.9%)]. The analysis sample excluded prevalent RA or SLE cases who used disease modifying anti-rheumatic drugs (DMARDs; N=815, 0.9%) and potential cases with either RA or SLE without DMARDS or DMARDS without RA/SLE at baseline or follow-up (N=2,533; 2.7%). Probable cases were identified based on a new self-reported diagnosis during the first three years of follow-up, confirmed by DMARD use at year 3 (a highly specific method for case ascertainment in the absence of medical records review or physician validation)(33). Derivation of the analysis sample is shown Supplemental Figure 1, and characteristics of the study sample relative to the complete OS Cohort are shown in Supplemental Table 1. The final analysis sample of 74,897 women included 211 cases of probable incident RA (N=176), SLE (N=27), or both (N=8) and 74,686.
The institutional review boards of the participating institutions approved protocols and consent forms, which were signed by the women at enrollment.
Stress and covariates
Baseline questionnaires included a standardized life events scale, asking about 11 items representing external stressors in the past year, i.e., “hard things that sometimes happen to people” (34). We used the total count of events reported (0, 1, 2, 3, 4+ for descriptive frequencies, and collapsed categories to reduce the impact of small cell size in modeling and secondary analyses). We also considered different types: interpersonal (6 items: e.g., spouse was deceased, close friend or family member deceased or serious illness, divorce or breakup, close friend/family member divorce, close friend/family member lost job or retired, major conflict with children or grandchildren), financial stress (1 item: major money problems), and abuse (2 items: physically or verbally abused by a family member or close friend). Physical abuse was infrequently reported in the absence of verbal abuse (27), and for multivariable modeling we grouped these as three categories (none, verbal abuse only, and physical abuse ± verbal abuse). Other items included death of a pet, and major accidents, disasters, muggings, unwanted sexual experiences, robberies, or similar events.
Baseline questionnaires also asked about recent caregiving, a potential source of chronic stress: questions asked whether a woman was regularly providing care for an ill relative or friend, and how many days per week in the past 4 weeks, which we grouped into 3 categories (none, up to 2 days, 3 or more days per week)(35). Social support was assessed through the general social support index (including emotional, tangible, affection, and positive social interactions), which we dichotomized as lower (≤median) and higher (>median)(36). Depressive symptoms in the past 2 weeks were assessed by the modified CESD-6 scale, dichotomized using a cut-point of ≥0.06 (37). Joint pain or stiffness in the past 4 weeks was rated as none, mild, moderate, severe. Other covariate data included age, self-reported race/ethnicity, education, occupational class, smoking pack-years, and body mass index (BMI)
Analyses
We modeled risk of developing RA/SLE using Cox proportional hazards regression to calculate Hazard Ratios (HR) and 95% Confidence Intervals (CI). Initial models adjusted for age, while fully adjusted models also included race/ethnicity, occupational class, education, pack-years of smoking and BMI. No evidence of confounding was seen in fully adjusted models, so age-adjusted results are reported in the text. Proportionality was assessed by adding a term for the interaction between the exposure and log-transformed survival time (p-values: 0.6455 total life events, 0.1999 interpersonal events, 0.0466 financial stress, 0.6681 for abuse, and 0.6730 caregiving. Graphs of the survival function versus log-transformed survival time were also examined, showing the departure from proportionality for financial stress was based on a small number of cases at one extreme. Trends tests for life event and Interpersonal event counts were based on linear terms in the models.
In sensitivity analyses, we excluded women with symptoms, which could indicate pre-clinical or undiagnosed RA (i.e., moderate to severe joint pain without doctor diagnosed arthritis or missing data on arthritis: 5343 non-cases, 35 cases). We also ran models excluding women with depressive symptoms (8,859 non-cases, 44 cases), which may be a cause or effect of chronic inflammation, autoimmunity, and response to pain, and may also result from earlier life events and past trauma (38–41).
In secondary analyses, we explored potential modifiers of the relationship of RA/SLE risk with life events, including age, social support, and occupational class. Interaction p-values were derived by comparing models including both variables with and without cross-product term; the test statistic, based on the deviance method, was tested against a chi-square distribution (degrees of freedom=difference in degrees of freedom between the two models) with a p<0.10 for statistical significance, allowing a higher Type 1 error rate to accommodate the lower power for testing interactions.
Results
Table 1 shows across categories of the number of life events reported (0, 1, 2, 3, and 4+) that women who reported more life events or stressors were slightly younger and had lower social support. They were more likely to be Black or Hispanic, have a lower educational attainment and occupational class, greater BMI and pack-years of smoking, and were more likely to report depressive symptoms or moderate to severe joint pain or stiffness. The most common stressor was death of a friend/family member (range 48% to 82% across categories 1 to 4+), followed by financial stress (11% to 76%), major conflict (8% to 64%), verbal abuse only (not including physical, 3% to 37%), major accident (3% to 26%), divorce/breakup (1% to 14%), spouse/partner died (1% to 10%), and physical abuse (with or without verbal abuse, <1% to 9%). Frequent caregiving (3 or more times per week) was reported by 11% and 13% of those with 0 or 1 life events, to 20% of those with 4+ events.
Table 1.
Characteristics of study participants by number of stressful life events at baseline
| Number of events reported | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
|
| ||||||||||
| 0 (n=16836) | 1 (n=23948) | 2 (n=17452) | 3 (n=9527) | ≥ 4 (n=7134) | ||||||
|
| ||||||||||
| Mean | SD | Mean | SD | Mean | SD | Mean | SD | Mean | SD | |
|
| ||||||||||
| Age | 64.3 | (7.2) | 64.1 | (7.3) | 63.3 | (7.3) | 62.6 | (7.2) | 61.6 | (7.2) |
| Social support | 37.6 | (7.2) | 37.0 | (7.3) | 36.0 | (7.6) | 34.9 | (7.9) | 32.8 | (8.3) |
|
| ||||||||||
| N | % | N | % | N | % | N | % | N | % | |
|
| ||||||||||
| Race/ethnicity | ||||||||||
| White | 14863 | 88.3 | 20966 | 87.5 | 14849 | 85.1 | 7905 | 83.0 | 5477 | 76.8 |
| Black | 752 | 4.5 | 1378 | 5.8 | 1327 | 7.6 | 838 | 8.8 | 819 | 11.5 |
| Hispanic | 426 | 2.6 | 563 | 2.4 | 502 | 2.9 | 358 | 3.8 | 441 | 6.2 |
| American Indian | 43 | 0.3 | 66 | 0.3 | 59 | 0.3 | 40 | 0.4 | 61 | 0.9 |
| Asian/Pacific Islander | 571 | 3.4 | 704 | 2.9 | 482 | 2.8 | 233 | 2.4 | 203 | 2.8 |
| Unknown | 181 | 1.1 | 271 | 1.1 | 233 | 1.3 | 153 | 1.6 | 133 | 1.9 |
| Education | ||||||||||
| < HS Graduate | 565 | 3.4 | 806 | 3.4 | 697 | 4.0 | 441 | 4.7 | 431 | 6.1 |
| High school/GED | 2665 | 15.9 | 3761 | 15.8 | 2711 | 15.6 | 1470 | 15.6 | 1075 | 15.2 |
| School after high school | 5478 | 32.8 | 8258 | 34.7 | 6431 | 37.1 | 3695 | 39.1 | 2963 | 41.9 |
| ≥College degree | 8007 | 47.9 | 10962 | 46.1 | 7491 | 43.2 | 3834 | 40.6 | 2598 | 36.8 |
| Occupation | ||||||||||
| Managerial/Professional | 7507 | 46.4 | 10639 | 46.2 | 7496 | 44.7 | 3951 | 43.2 | 2714 | 40.0 |
| Technical/Sales/Admin | 4386 | 27.1 | 6470 | 28.1 | 4858 | 28.9 | 2735 | 29.9 | 2062 | 30.4 |
| Service/Labor | 2335 | 14.4 | 3503 | 15.2 | 2762 | 16.5 | 1674 | 18.3 | 1460 | 21.5 |
| Homemaker only | 1951 | 12.1 | 2439 | 10.6 | 1672 | 10.0 | 789 | 8.6 | 556 | 8.2 |
| Body-mass index (kg/m2) | ||||||||||
| <25 | 7950 | 47.8 | 10520 | 44.4 | 7030 | 40.8 | 3638 | 38.6 | 2335 | 33.1 |
| 25 - <30 | 5574 | 33.5 | 8058 | 34.0 | 5951 | 34.5 | 3252 | 34.5 | 2408 | 34.1 |
| ≥30 | 3106 | 18.7 | 5112 | 21.6 | 4258 | 24.7 | 2536 | 26.9 | 2310 | 32.8 |
| Pack years of smoking | ||||||||||
| Never-smoker | 8918 | 54.6 | 12310 | 53.1 | 8791 | 52.1 | 4689 | 51.0 | 3488 | 50.8 |
| <5 | 2320 | 14.2 | 3440 | 14.9 | 2500 | 14.8 | 1436 | 15.6 | 1092 | 15.9 |
| 5 - <20 | 2288 | 14.0 | 3327 | 14.4 | 2451 | 14.5 | 1328 | 14.4 | 974 | 14.2 |
| ≥20 | 2807 | 17.2 | 4087 | 17.6 | 3140 | 18.6 | 1743 | 19.0 | 1310 | 19.1 |
| Specific life events1 | ||||||||||
| Friend/family member died | --- | NA | 11560 | 48.4 | 11201 | 64.3 | 7069 | 74.3 | 5868 | 82.4 |
| Financial stress | --- | NA | 2534 | 10.6 | 5391 | 30.9 | 4839 | 50.9 | 5402 | 75.9 |
| Major conflict | --- | NA | 1961 | 8.2 | 3744 | 21.5 | 3727 | 39.2 | 4538 | 63.7 |
| Abuse – verbal only | --- | NA | 826 | 3.4 | 1812 | 10.4 | 1945 | 20.4 | 2658 | 37.3 |
| Major accident | --- | NA | 637 | 2.7 | 1234 | 7.1 | 1175 | 12.3 | 1859 | 26.1 |
| Divorce of break-up | --- | NA | 117 | 0.7 | 327 | 1.9 | 440 | 4.6 | 1006 | 14.1 |
| Spouse/partner died | --- | NA | 339 | 1.4 | 628 | 3.6 | 548 | 5.8 | 694 | 9.7 |
| Physical (± verbal abuse)2 | --- | NA | 16 | 0.1 | 90 | 0.5 | 162 | 1.7 | 635 | 8.9 |
| Caregiving | ||||||||||
| None or infrequent | 11196 | 66.8 | 14788 | 62.0 | 10164 | 58.6 | 5110 | 54.0 | 3540 | 49.9 |
| Up to 2 times/week | 3659 | 21.8 | 5880 | 24.7 | 4518 | 26.0 | 2764 | 29.2 | 2102 | 29.6 |
| 3 or more times/week | 1902 | 11.4 | 3166 | 13.3 | 2674 | 15.4 | 1593 | 16.8 | 1450 | 20.4 |
| Depression symptoms3 | 577 | 3.5 | 1527 | 6.5 | 1910 | 11.2 | 1501 | 16.1 | 1991 | 28.6 |
| Joint pain or stiffness | ||||||||||
| Symptom did not occur | 5915 | 35.2 | 7635 | 32.0 | 4816 | 27.7 | 2373 | 25.0 | 1423 | 20.0 |
| Mild | 7817 | 46.6 | 11260 | 47.1 | 8288 | 47.6 | 4361 | 45.9 | 3137 | 44.2 |
| Moderate | 2592 | 15.4 | 4040 | 16.9 | 3352 | 19.3 | 2112 | 22.3 | 1813 | 25.5 |
| Severe | 459 | 2.7 | 960 | 4.0 | 940 | 5.4 | 646 | 6.8 | 729 | 10.3 |
Common or severe events listed, including include financial stressor (i.e., major money problems); spouse or partner died, divorce or break-up; major conflict (i.e., with children or grandchildren); major accident (or disaster). Other included close friend/family member divorced, close friend/family member lost job or retired; pet died.
Physical abuse occurred in the absence of reported verbal abuse for 8, 33, 45, and 72 women across the 4 event categories.
Depression symptoms if CES-D score ≥ 0.06.
Table 2 shows frequencies of life events in the past year, caregiving days per week, and symptoms of depression and joint pain in RA/SLE cases and non-cases. Across all life events evaluated, 12.8% of cases reported 4 or more and 18.5% reported 3 events. Across the different types of events: 10% reported at least 3 interpersonal life events and 24.2% reported 2 events; 28.4% reported financial stress. Only 2.4% reported physical abuse, while 12.3% reported verbal abuse only. Caregiving 3 or more days per week was reported by 17.5% of cases. At baseline, 17.3% had symptoms of depression, and 8.1% reported moderate to severe joint pain in the absence of diagnosed arthritis. Similar frequencies were seen in RA cases, while frequencies in SLE cases are shown in Supplemental Table 2. Covariate frequencies are shown in Supplemental Table 3.
Table 2.
Incident RA/SLE by stressful life events, caregiving, depressive symptoms, moderate to severe joint pain or stiffness, and doctor diagnosed arthritis other than RA.
| Non-cases (n=74686) | RA/SLE (n=211)1 | RA (n=184) | ||||
|---|---|---|---|---|---|---|
|
| ||||||
| N | % | N | % | N | % | |
|
| ||||||
| Life events (all) | ||||||
| 0 | 16797 | 22.5 | 39 | 18.5 | 32 | 17.4 |
| 1 | 23884 | 32.0 | 64 | 30.3 | 59 | 32.1 |
| 2 | 17410 | 23.3 | 42 | 19.9 | 34 | 18.5 |
| 3 | 9488 | 12.7 | 39 | 18.5 | 36 | 19.6 |
| ≥ 4 | 7107 | 9.5 | 27 | 12.8 | 23 | 12.5 |
| Interpersonal | ||||||
| 0 | 22895 | 30.7 | 60 | 28.4 | 47 | 25.5 |
| 1 | 29581 | 39.6 | 79 | 37.4 | 73 | 39.7 |
| 2 | 15581 | 20.9 | 51 | 24.2 | 46 | 25.0 |
| ≥ 3 | 6629 | 8.9 | 21 | 10.0 | 18 | 9.8 |
| Financial stress | ||||||
| No | 56448 | 75.7 | 151 | 71.6 | 133 | 72.3 |
| Yes | 18106 | 24.3 | 60 | 28.4 | 51 | 27.7 |
| Missing | 132 | |||||
| Abuse | ||||||
| None | 66731 | 89.3 | 180 | 85.3 | 161 | 87.5 |
| Verbal only | 7215 | 9.7 | 26 | 12.3 | 20 | 10.9 |
| Physical +/− verbal | 740 | 1.0 | 5 | 2.4 | 3 | 1.6 |
| Caregiving (days/week) | ||||||
| None/infrequent | 44678 | 60.1 | 120 | 56.9 | 103 | 56.0 |
| Up to 2 times/week | 18869 | 25.4 | 54 | 25.6 | 49 | 26.6 |
| 3 or more times/week | 10748 | 14.5 | 37 | 17.5 | 32 | 17.4 |
| Missing | 391 | 0 | ||||
| Depression (CES-D/DIS ≥ 0.06) | ||||||
| No | 65827 | 89.8 | 167 | 82.7 | 148 | 84.6 |
| Yes | 7471 | 10.2 | 35 | 17.3 | 27 | 15.4 |
| Missing | 1388 | 9 | ||||
| Joint pain/stiffness | ||||||
| No symptoms | 22137 | 29.7 | 25 | 11.8 | 23 | 12.5 |
| Mild | 34776 | 46.7 | 87 | 41.2 | 76 | 41.3 |
| Moderate | 13838 | 18.6 | 71 | 33.6 | 62 | 33.7 |
| Severe | 3706 | 5.0 | 28 | 13.3 | 23 | 12.5 |
| Missing | 229 | |||||
| Doctor diagnosed arthritis2 | 31978 | 42.8 | 107 | 50.7 | 92 | 50.0 |
| Moderate-Severe joint pain/stiffness + Diagnosed arthritis + No diagnosed arthritis Missing arthritis |
12430 3808 1306 |
16.7 5.1 |
64 17 18 |
30.3 8.1 |
55 14 16 |
29.9 7.6 |
Total sample includes 8 cases of RA with SLE and 27 cases of SLE-only
Doctor diagnosed arthritis other than RA, other non-specified or unknown type
In proportional hazard regression models (Table 3), RA/SLE risk was associated with a greater number of recent life events or stressors (e.g., age-adjusted HR=1.70; 95%CI 1.14, 2.53 for 3 or more versus none; p-trend 0.0026), and with physical abuse (e.g., HR=2.48; 95%CI 1.02, 6.03). Elevated HRs were seen for increased interpersonal events (HR 1.23, 95%CI 0.87, 1.73), financial stress (HR 1.22; 95%CI 0.90, 1.64), and more frequent caregiving (>2 days/week versus none; HR 1.25; 95%CI 0.87, 1.81), though confidence limits did not exclude the null and trend tests were not statistically significant. Estimates did not appear to be confounded by demographic or behavioral factors (race/ethnicity, education, occupation, pack-years of smoking and BMI), as results were similar in fully adjusted models. In sensitivity analyses (Supplemental Table 4), associations of RA/SLE with the number of life events and physical abuse persisted after excluding women with moderate or severe joint pain or stiffness not due to diagnosed arthritis or depressive symptoms. The trend for more frequent caregiving became statistically significant after excluding women with moderate to severe joint pain in the absence of diagnosed arthritis (ptrend=0.0424) but was attenuated excluding those with depressive symptoms.
Table 3.
Associations of stressful life events or stressors with incident RA or SLE adjusting for age and covariates’
| Stressful life events1 | Number of non-cases | Number of RA/SLE cases | HR (95% CI) 2 Age-adjusted |
HR (95% CI) 2 Fully adjusted |
|---|---|---|---|---|
|
| ||||
| All life events/stressors | ||||
| 0 | 16797 | 39 | 1.0 | 1.0 |
| 1 to 2 | 41294 | 106 | 1.11 (0.77, 1.60) | 1.16 (0.78, 1.73) |
| ≥ 3 | 16595 | 66 | 1.70 (1.14, 2.53) | 1.75 (1.14, 2.69) |
| p-trend | 0.0026 | 0.0039 | ||
| Interpersonal | ||||
| 0 | 22895 | 60 | 1.0 | 1.0 |
| 1 | 29581 | 79 | 1.02 (0.73, 1.43) | 1.17 (0.82, 1.67) |
| ≥ 2 | 22210 | 72 | 1.23 (0.87, 1.73) | 1.25 (0.86, 1.81) |
| p- trend | 0.2403 | 0.2465 | ||
| Financial stress | ||||
| No | 56448 | 151 | 1.0 | 1.0 |
| Yes | 18106 | 60 | 1.22 (0.90, 1.64) | 1.15 (0.83, 1.59) |
| p- trend | 0.2078 | 0.4020 | ||
| Abuse | ||||
| None | 66731 | 180 | 1.0 | 1.0 |
| Verbal only | 7215 | 26 | 1.34 (0.89, 2.02) | 1.36 (0.89, 2.10) |
| Physical (± verbal) | 740 | 5 | 2.48 (1.02, 6.03) | 2.50 (1.02, 6.14) |
| p- trend | 0.0614 | 0.0524 | ||
| Caregiving | ||||
| None | 44678 | 120 | 1.0 | 1.0 |
| ≤ 2 times/week | 18869 | 54 | 1.06 (0.77, 1.46) | 1.04 (0.74, 1.47) |
| > 2 times/week | 10748 | 37 | 1.25 (0.87, 1.81) | 1.31 (0.89, 1.92) |
| p- trend | 0.2571 | 0.2115 | ||
Categories collapsed to reduce the variance in multivariable models.
Hazard ratios and 95% confidence intervals estimated from Cox proportional hazards regression models, adjusted for age, or fully adjusted for age, race/ethnicity, education, occupation, pack-years of smoking and BMI.
In secondary analyses exploring potential modifiers (Figure 2 and Supplemental Table 5), several associations were more apparent in women with lower occupational status (i.e., those with non-professional/managerial jobs or homemakers) or social support, or ages 50–64 years. Abuse showed strong, statistically significant associations with RA/SLE in women with lower occupational status, lower social support, and ages 50–64 years (ORs 1.60 to 1.79), though interactions were not statistically significant. The association of financial stress with RA/SLE was also more apparent in women with a lower occupational status (pinteraction =0.0147) and in women aged 50–64 years (pinteraction=0.0814). By contrast, the association of RA/SLE with interpersonal events was more apparent in women aged 65+ years (pinteraction=0.0742).
Figure 2.
Life events associated with RA/SLE, stratified by social and demographic buffering factors Age-adjusted Hazard Ratios and 95% Confidence Intervals.
Discussion
Results of this prospective study support the hypothesis that stressful life events may play a role in the development of RA and SLE in post-menopausal women. We found that women reporting a greater number of events in the past year, including death of a partner or close friend, conflict with children or grandchildren, divorce, abuse (physical or verbal), financial problems, and major accidents or disasters, had a 70% increased risk of being diagnosed with probable RA or SLE within three years of enrollment. These results extend prior literature showing associations with diverse, contemporary psychosocial stressors in a population of middle-aged and older women.
Our prospective findings for probable RA/SLE are consistent with a retrospective study of 2,774 RA cases in Sweden showed that having 3 or more life events in the past 5 years was associated with RA in women and with anti-citrullinated peptide antibody (ACPA)-negative cases (ORs 1.3–1.4) , though their study sample was younger (Median age 55 years, range 18–70) and clinically validated (23). Looking at individual types of events, they saw stronger (OR≥1.4), statistically significant associations for interpersonal conflict (with a spouse or children or at work), increased or decreased responsibility at work, unemployment, change in residence, and divorce. In a retrospective analysis of 85 SLE cases, the strongest associations (though none of them statistically significant) included severe conflict or being deeply offended by someone, along with death of a child (24). In our overall sample, RA/SLE was not associated with increased interpersonal events (a group that included events such as divorce, death of someone close, conflict with children, a family member/friend loss of a job or retirement), or with financial problems. Focused research is needed to address the impacts of stress from interpersonal conflict and loss.
While relatively uncommon, we found that physical abuse (with or without verbal abuse) in the past year was associated with risk of RA/SLE. Partner abuse is an important, understudied traumatic stressor in women, and these findings add to a growing literature focused on post-traumatic stress disorder (PTSD) and trauma as risk factors for RA and SLE (10–12, 18, 42). Previous research in the WHI has shown that abuse is related to depressive symptoms and overall mortality risk (43, 44). Though focused on events in the past year, the question specifies abuse in a close relationship, which may also indicate an extended pattern of traumatic stress (45). We did not look at associations specifically in SLE cases, but note that 25.7% reported physical or verbal abuse, compared to 12.5% of those with RA and 10.7% of non-cases. Given the small number of exposed cases, these findings warrant cautious interpretation.
Our results suggest that overall caregiving was not associated with developing RA/SLE. We saw an elevated HR for more frequent caregiving (3 or more days per week), but the CI included the null. Notably, these results were sensitive to excluding women with baseline symptoms of joint pain (increased HR) or depression (attenuated HR). Caregiving is a common experience in mid-life and older women caring for parents or partners and is typically viewed as a source of chronic stress. But research on caregiving often fails to capture the context or heterogeneity of caregiving, and any potential positive effects on health and wellbeing (46–49). Conversely, caregiving may be accompanied by life events such as illness or death of a spouse or relationship conflict. In the current study sample, women with more life events also reported more frequent. Caregiver stress may be better captured in future studies using methods such as a latent class analysis (50).
We explored the use of markers of Reserve Capacity (i.e., occupational class and social support) to contextualize the environment in which stressors occur, and age, as potential effect modifiers on the relationship of life events with RA/SLE. In stratified models, most differences were in the expected direction, with greater risk in women with fewer resources, i.e., lower occupational status and lower social support. Most did not reflect significant interactions (i.e., p<0.10), except for financial stress, which was associated with increased RA/SLE in women with lower occupational status and in women ages <65 years. Having more interpersonal events was also associated with RA/SLE in those who were 65 and older, but not in women <65. These differences could be related to exposure heterogeneity across subgroups, or variable response depending on life stages and co-occurring events. Cautious interpretation is warranted given the exploratory nature of these analyses.
Psychological stress or distress is experienced when demands outweigh psychological, social, and materials resources, with impacts on health through diverse pathways, including psychopathology. We did not adjust for depressive symptoms, which may be a marker for physiologic effects on the pathway to disease. Baseline depressive symptoms in the past 4 weeks were more common in women who later developed RA/SLE, however observed associations with life events persisted in women without symptoms. We did not examine diagnosed depression or anti-depressant use, nor did we evaluate potential mediation or modification by depression, which warrants further consideration as it offers a potential opportunity in clinical settings to identify and support individuals at risk.
Stress can affect health through different biological mechanisms, depending on the type or timing of the stressor, and other historical and concurrent exposures that modify neuroendocrine responses. Chronic and acute stress due to experiences viewed as threatening, unpredictable or uncontrollable may lead to immune dysfunction and dysregulation, resulting in a variety of long and short-term changes, including increased susceptibility to infection, reduced healing, and inflammation (51, 52). Autoantibodies in RA (and other autoimmune diseases) can arise well in advance of disease onset as part of a larger constellation of factors, including systemic inflammation, preceding clinically apparent disease (32, 53–55). Stress effects on the immune system could act at an earlier stage on the causal pathway leading to autoantibody production, for example, in the mucosal origins hypothesis for RA, or at a later stage contributing to clinical pathology leading to diagnosis (56). Time to diagnosis following initial symptoms varies and it is likely that some cases in our study had undiagnosed disease at baseline. Early symptoms of disease may include joint-specific inflammation; however, results were unchanged in models excluding those reporting moderate or severe joint pain at baseline not due to other or unknown forms of doctor-diagnosed arthritis.
This study has limitations. Although the sample was of sufficient size to detect modest associations with frequently reported life events, the low incidence of probable RA/SLE and short follow-up time limited our ability to examine less common individual exposures (e.g., physical abuse, or experiencing an accident or disaster or another major traumatic event), or conduct analyses limited to SLE. The WHI-OS cohort is a volunteer sample of women who were ineligible for the clinical trials for various reasons; most were white, while Black and Hispanic women were more likely to be excluded from our study sample due to missing data, further limiting generalizability. The small number of non-white women in the study sample precluded analyses of racial/ethnic disparities in RA/SLE in relation to life events (57).
Self-report of RA/SLE is known to be non-specific, so we limited our analyses to probable clinical cases based on their use of disease-specific medication. During our study period, the paradigm of early initiation of DMARDs following diagnosis was emerging, but not widespread, especially in older patients. Of those enrolled in Medicare Part D, only 24% of RA patients used DMARDs in 1996, rising to only 41% by 2003 (58, 59). Thus, our cases may represent those with more aggressive disease or otherwise better access to and uptake of DMARDs. We lacked data on disease phenotype, including anti-CCP antibodies at RA diagnosis. Recent findings in male RA patients showed that PTSD symptoms were related to serum cytokine levels in those with anti-CCP antibodies (60), while a large retrospective study showed no associations of life events with anti-CCP negative RA in men, but few differences in associations with RA by anti-CCP status among women (23). Further research is warranted on the role of stress and RA/SLE in larger preclinical samples, including those with anti-CCP antibodies and individuals with a family history of RA/SLE.
Stress exposure assessment can be challenging in studies of autoimmune diseases, which themselves can be stressful or cause physical and psychological changes that may result in recall bias or reverse causality (39). Events were measured only at one time point, and no data were available on past adult life events, traumas, and childhood adverse experiences, which may proliferate and form trajectories impacting health in older women (61, 62). Results for physical abuse, in particular, are likely to reflect a longer trajectory of abuse (physical and verbal) with cumulative effects on health. Repeated stress measures, also including perceived stress and psychological sequelae of traumatic stress, over a longer follow-up period, are needed to identify whether specific events versus sustained patterns of trauma or chronic stress confer increased risk of RA/SLE, especially given the potential latency of effects in the development and progression of disease.
We saw limited evidence of confounding by BMI and smoking, race/ethnicity, or socioeconomic factors (occupational status and education), but cannot rule out the possibility of unmeasured confounders.
In sum, the results of this prospective analysis highlight the possible role of stress due to recent life events as proximal risk factors for RA or SLE in post-menopausal women, and support the need to consider a diverse range of stressors and contextual factors in future studies. If replicated, our findings also suggest opportunities to identify individuals who may be at higher risk for developing RA or SLE.
Supplementary Material
SIGNIFICANCE AND INNOVATIONS.
In a well-characterized cohort of post-menopausal women, those reporting 3 or more major life events in the past year at baseline had a 70% increased risk of developing rheumatoid arthritis (RA) or systemic lupus erythematosus (SLE) in the subsequent three years.
Associations were not confounded by sociodemographic and lifestyle factors and were robust to sensitivity analyses excluding women with baseline depressive symptoms or unexplained moderate to severe joint pain.
Our findings for diverse stressors, ranging from interpersonal factors to financial stress to abuse, add to a growing literature on the role of psychosocial stressors in the development RA and SLE.
Acknowledgments
This work was supported in part by the intramural program of the National Institute of Environmental Health Sciences (Z01-ES049028) and the Division of Intramural Research of the National Institutes of Health, National Institute of Neurological Diseases and Stroke. The WHI program is funded by the National Heart, Lung, and Blood Institute, National Institutes of Health, US Department of Health and Human Services through contracts N01WH22110, 24152, 32100–2, 32105–6, 32108–9, 32111–13, 32115, 32118–32119, 32122, 42107–26, 42129–32, and 44221.
Footnotes
The authors have no competing interests.
References
- 1.Helmick CG, Felson DT, Lawrence RC, Gabriel S, Hirsch R, Kwoh CK, et al. Estimates of the prevalence of arthritis and other rheumatic conditions in the United States: Part I. Arthritis Rheum. 2008;58(1):15–25. [DOI] [PubMed] [Google Scholar]
- 2.Tsao BP. The genetics of human systemic lupus erythematosus. Trends Immunol. 2003;24(11):595–602. [DOI] [PubMed] [Google Scholar]
- 3.Lau CS, Yin G, Mok MY. Ethnic and geographical differences in systemic lupus erythematosus: an overview. Lupus. 2006;15(11):715–9. [DOI] [PubMed] [Google Scholar]
- 4.Lockshin MD. Sex ratio and rheumatic disease: excerpts from an Institute of Medicine report. Lupus. 2002;11(10):662–6. [DOI] [PubMed] [Google Scholar]
- 5.Alamanos Y, Drosos AA. Epidemiology of adult rheumatoid arthritis. Autoimmun Rev. 2005;4(3):130–6. [DOI] [PubMed] [Google Scholar]
- 6.Woo JMP, Parks CG, Jacobsen S, Costenbader KH, Bernatsky S. The role of environmental exposures and gene-environment interactions in the etiology of systemic lupus erythematous. J Intern Med. 2022;291(6):755–78. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Klareskog L, Rönnelid J, Saevarsdottir S, Padyukov L, Alfredsson L. The importance of differences; On environment and its interactions with genes and immunity in the causation of rheumatoid arthritis. J Intern Med. 2020;287(5):514–33. [DOI] [PubMed] [Google Scholar]
- 8.Gourley M, Miller FW. Mechanisms of disease: Environmental factors in the pathogenesis of rheumatic disease. Nat Clin Pract Rheumatol. 2007;3(3):172–80. [DOI] [PubMed] [Google Scholar]
- 9.Sharif K, Watad A, Coplan L, Lichtbroun B, Krosser A, Lichtbroun M, et al. The role of stress in the mosaic of autoimmunity: An overlooked association. Autoimmun Rev. 2018;17(10):967–83. [DOI] [PubMed] [Google Scholar]
- 10.Dube SR, Fairweather D, Pearson WS, Felitti VJ, Anda RF, Croft JB. Cumulative childhood stress and autoimmune diseases in adults. Psychosom Med. 2009;71(2):243–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Boscarino JA. Posttraumatic stress disorder and physical illness: results from clinical and epidemiologic studies. Ann N Y Acad Sci. 2004;1032:141–53. [DOI] [PubMed] [Google Scholar]
- 12.Boscarino JA, Forsberg CW, Goldberg J. A twin study of the association between PTSD symptoms and rheumatoid arthritis. Psychosom Med. 2010;72(5):481–6. [DOI] [PubMed] [Google Scholar]
- 13.Lee YC, Agnew-Blais J, Malspeis S, Keyes K, Costenbader K, Kubzansky LD, et al. Post-Traumatic Stress Disorder and Risk for Incident Rheumatoid Arthritis. Arthritis care & research. 2016;68(3):292–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Roberts AL, Malspeis S, Kubzansky LD, Feldman CH, Chang SC, Koenen KC, et al. Association of Trauma and Posttraumatic Stress Disorder With Incident Systemic Lupus Erythematosus in a Longitudinal Cohort of Women. Arthritis & rheumatology (Hoboken, NJ). 2017;69(11):2162–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Song H, Fang F, Tomasson G, Arnberg FK, Mataix-Cols D, Fernandez de la Cruz L, et al. Association of Stress-Related Disorders With Subsequent Autoimmune Disease. Jama. 2018;319(23):2388–400. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Bookwalter DB, Roenfeldt KA, LeardMann CA, Kong SY, Riddle MS, Rull RP. Posttraumatic stress disorder and risk of selected autoimmune diseases among US military personnel. BMC psychiatry. 2020;20(1):23. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Spitzer C, Wegert S, Wollenhaupt J, Wingenfeld K, Barnow S, Grabe HJ. Gender-specific association between childhood trauma and rheumatoid arthritis: a case-control study. Journal of psychosomatic research. 2013;74(4):296–300. [DOI] [PubMed] [Google Scholar]
- 18.Case SM, Feldman CH, Guan H, Stevens E, Kubzansky LD, Koenen KC, et al. Post-Traumatic Stress Disorder (PTSD) and Risk of Systemic Lupus Erythematosus (SLE) among Medicaid Recipients. Arthritis care & research. 2021. [DOI] [PMC free article] [PubMed]
- 19.Stojanovich L. Stress and autoimmunity. Autoimmun Rev. 2010;9(5):A271–6. [DOI] [PubMed] [Google Scholar]
- 20.Segerstrom SC, Miller GE. Psychological stress and the human immune system: a meta-analytic study of 30 years of inquiry. Psychol Bull. 2004;130(4):601–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Pedersen AF, Zachariae R, Bovbjerg DH. Psychological stress and antibody response to influenza vaccination: a meta-analysis. Brain Behav Immun. 2009;23(4):427–33. [DOI] [PubMed] [Google Scholar]
- 22.Pearlin LI. The life course and the stress process: some conceptual comparisons. J Gerontol B Psychol Sci Soc Sci. 2010;65b(2):207–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Wesley A, Bengtsson C, Skillgate E, Saevarsdottir S, Theorell T, Holmqvist M, et al. Association Between Life Events and Rheumatoid Arthritis: Results From a Population-Based Case-Control Study. Arthritis care & research. 2014;66(6):844–51. [Google Scholar]
- 24.Bengtsson AA, Rylander L, Hagmar L, Nived O, Sturfelt G. Risk factors for developing systemic lupus erythematosus: a case-control study in southern Sweden. Rheumatology (Oxford, England). 2002;41(5):563–71. [DOI] [PubMed] [Google Scholar]
- 25.Matthews KA, Gallo LC. Psychological perspectives on pathways linking socioeconomic status and physical health. Annual review of psychology. 2011;62:501–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Gallo LC, Matthews KA. Understanding the association between socioeconomic status and physical health: do negative emotions play a role? Psychol Bull. 2003;129(1):10–51. [DOI] [PubMed] [Google Scholar]
- 27.Mouton CP, Rodabough RJ, Rovi SL, Hunt JL, Talamantes MA, Brzyski RG, et al. Prevalence and 3-year incidence of abuse among postmenopausal women. Am J Public Health. 2004;94(4):605–12. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Michael YL, Carlson NE, Chlebowski RT, Aickin M, Weihs KL, Ockene JK, et al. Influence of stressors on breast cancer incidence in the Women’s Health Initiative. Health Psychol. 2009;28(2):137–46. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Springfield S, Qin F, Hedlin H, Eaton CB, Rosal MC, Taylor H, et al. Modifiable Resources and Resilience in Racially and Ethnically Diverse Older Women: Implications for Health Outcomes and Interventions. Int J Environ Res Public Health. 2022;19(12). [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Parks CG, Walitt BT, Pettinger M, Chen JC, de Roos AJ, Hunt J, et al. Insecticide use and risk of rheumatoid arthritis and systemic lupus erythematosus in the Women’s Health Initiative Observational Study. Arthritis care & research. 2011;63(2):184–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Uebelacker LA, Eaton CB, Weisberg R, Sands M, Williams C, Calhoun D, et al. Social support and physical activity as moderators of life stress in predicting baseline depression and change in depression over time in the Women’s Health Initiative. Soc Psychiatry Psychiatr Epidemiol. 2013;48(12):1971–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Design of the Women’s Health Initiative clinical trial and observational study. The Women’s Health Initiative Study Group. Controlled clinical trials. 1998;19(1):61–109. [DOI] [PubMed] [Google Scholar]
- 33.Walitt BT, Constantinescu F, Katz JD, Weinstein A, Wang H, Hernandez RK, et al. Validation of self-report of rheumatoid arthritis and systemic lupus erythematosus: The Women’s Health Initiative. The Journal of rheumatology. 2008;35(5):811–8. [PMC free article] [PubMed] [Google Scholar]
- 34.Ruberman W, Weinblatt E, Goldberg JD, Chaudhary BS. Psychosocial influences on mortality after myocardial infarction. The New England journal of medicine. 1984;311(9):552–9. [DOI] [PubMed] [Google Scholar]
- 35.Brown LJ, Potter JF, Foster BG. Caregiver burden should be evaluated during geriatric assessment. J Am Geriatr Soc. 1990;38(4):455–60. [DOI] [PubMed] [Google Scholar]
- 36.Sherbourne CD, Stewart AL. The MOS social support survey. Soc Sci Med. 1991;32(6):705–14. [DOI] [PubMed] [Google Scholar]
- 37.Burnam MA, Wells KB, Leake B, Landsverk J. Development of a brief screening instrument for detecting depressive disorders. Medical care. 1988;26(8):775–89. [DOI] [PubMed] [Google Scholar]
- 38.Harth M, Nielson WR. Pain and affective distress in arthritis: relationship to immunity and inflammation. Expert Rev Clin Immunol. 2019;15(5):541–52. [DOI] [PubMed] [Google Scholar]
- 39.Huerta PT, Kowal C, DeGiorgio LA, Volpe BT, Diamond B. Immunity and behavior: antibodies alter emotion. Proc Natl Acad Sci U S A. 2006;103(3):678–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wilson-Genderson M, Heid AR, Cartwright F, Pruchno R. Adverse childhood experiences, adult trauma, and depressive symptom trajectories. Aging Ment Health. 2022;26(11):2170–8. [DOI] [PubMed] [Google Scholar]
- 41.Yazawa A, Shiba K, Inoue Y, Okuzono SS, Inoue K, Kondo N, et al. Early childhood adversity and late-life depressive symptoms: unpacking mediation and interaction by adult socioeconomic status. Soc Psychiatry Psychiatr Epidemiol. 2022;57(6):1147–56. [DOI] [PubMed] [Google Scholar]
- 42.Cozier YC, Barbhaiya M, Castro-Webb N, Conte C, Tedeschi S, Leatherwood C, et al. Association of Child Abuse and Systemic Lupus Erythematosus in Black Women During Adulthood. Arthritis care & research. 2021;73(6):833–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Baker MW, LaCroix AZ, Wu C, Cochrane BB, Wallace R, Woods NF. Mortality risk associated with physical and verbal abuse in women aged 50 to 79. J Am Geriatr Soc. 2009;57(10):1799–809. [DOI] [PubMed] [Google Scholar]
- 44.Mouton CP, Rodabough RJ, Rovi SL, Brzyski RG, Katerndahl DA. Psychosocial effects of physical and verbal abuse in postmenopausal women. Ann Fam Med. 2010;8(3):206–13. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Byers AL, Covinsky KE, Neylan TC, Yaffe K. Chronicity of posttraumatic stress disorder and risk of disability in older persons. JAMA psychiatry. 2014;71(5):540–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Young HM, Bell JF, Whitney RL, Ridberg RA, Reed SC, Vitaliano PP. Social Determinants of Health: Underreported Heterogeneity in Systematic Reviews of Caregiver Interventions. Gerontologist. 2020;60(Suppl 1):S14–s28. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lynch SH, Shuster G, Lobo ML. The family caregiver experience - examining the positive and negative aspects of compassion satisfaction and compassion fatigue as caregiving outcomes. Aging Ment Health. 2018;22(11):1424–31. [DOI] [PubMed] [Google Scholar]
- 48.O’Reilly D, Rosato M, Maguire A. Caregiving reduces mortality risk for most caregivers: a census-based record linkage study. Int J Epidemiol. 2015;44(6):1959–69. [DOI] [PubMed] [Google Scholar]
- 49.Bacon KL, Heeren T, Keysor JJ, Stuver SO, Cauley JA, Fredman L. Longitudinal and Reciprocal Relationships Between Depression and Disability in Older Women Caregivers and Noncaregivers. Gerontologist. 2016;56(4):723–32. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.McCool-Myers M, Grasso D, Kozlowski D, Cordes S, Jean V, Gold H, et al. The COVID-19 pandemic’s intersectional impact on work life, home life and wellbeing: an exploratory mixed-methods analysis of Georgia women’s experiences during the pandemic. BMC Public Health. 2022;22(1):1988. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Bagby SP, Martin D, Chung ST, Rajapakse N. From the Outside In: Biological Mechanisms Linking Social and Environmental Exposures to Chronic Disease and to Health Disparities. Am J Public Health. 2019;109(S1):S56–s63. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Marsland AL, Walsh C, Lockwood K, John-Henderson NA. The effects of acute psychological stress on circulating and stimulated inflammatory markers: A systematic review and meta-analysis. Brain Behav Immun. 2017;64:208–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Rantapää-Dahlqvist S, de Jong BA, Berglin E, Hallmans G, Wadell G, Stenlund H, et al. Antibodies against cyclic citrullinated peptide and IgA rheumatoid factor predict the development of rheumatoid arthritis. Arthritis Rheum. 2003;48(10):2741–9. [DOI] [PubMed] [Google Scholar]
- 54.Bemis EA, Demoruelle MK, Seifert JA, Polinski KJ, Weisman MH, Buckner JH, et al. Factors associated with progression to inflammatory arthritis in first-degree relatives of individuals with RA following autoantibody positive screening in a non-clinical setting. Ann Rheum Dis. 2021;80(2):154–61. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Greenblatt HK, Kim HA, Bettner LF, Deane KD. Preclinical rheumatoid arthritis and rheumatoid arthritis prevention. Current opinion in rheumatology. 2020;32(3):289–96. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Holers VM, Demoruelle MK, Kuhn KA, Buckner JH, Robinson WH, Okamoto Y, et al. Rheumatoid arthritis and the mucosal origins hypothesis: protection turns to destruction. Nat Rev Rheumatol. 2018;14(9):542–57. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Koffer RE, Thurston RC, Bromberger JT, Matthews KA. Racial/Ethnic Differences in Women’s Life Event Exposure Across Midlife. J Gerontol B Psychol Sci Soc Sci. 2022;77(2):272–83. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Fries JF. Current treatment paradigms in rheumatoid arthritis. Rheumatology (Oxford, England). 2000;39 Suppl 1:30–5. [DOI] [PubMed] [Google Scholar]
- 59.Schmajuk G, Schneeweiss S, Katz JN, Weinblatt ME, Setoguchi S, Avorn J, et al. Treatment of older adult patients diagnosed with rheumatoid arthritis: improved but not optimal. Arthritis Rheum. 2007;57(6):928–34. [DOI] [PubMed] [Google Scholar]
- 60.Maloley PM, England BR, Sayles H, Thiele GM, Michaud K, Sokolove J, et al. Post-traumatic stress disorder and serum cytokine and chemokine concentrations in patients with rheumatoid arthritis(). Semin Arthritis Rheum. 2019. [DOI] [PMC free article] [PubMed]
- 61.Bürgin D, Boonmann C, Schmeck K, Schmid M, Tripp P, Nishimi K, et al. Compounding Stress: Childhood Adversity as a Risk Factor for Adulthood Trauma Exposure in the Health and Retirement Study. J Trauma Stress. 2021;34(1):124–36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 62.Arpawong TE, Mekli K, Lee J, Phillips DF, Gatz M, Prescott CA. A longitudinal study shows stress proliferation effects from early childhood adversity and recent stress on risk for depressive symptoms among older adults. Aging Ment Health. 2022;26(4):870–80. [DOI] [PMC free article] [PubMed] [Google Scholar]
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